Semanlink - NTIC AND Informatique

> **Part of what makes LoRA so effective is that ... it’s stackable.**
>
> By contrast, training giant models from scratch not only
throws away the pretraining, but also any iterative
improvements that have been made on top.

> LoRA updates are very cheap to produce (~$100) for the
most popular model sizes.

> Many of these projects are saving time by training on
small, highly curated datasets...
> These
datasets are built using synthetic methods (e.g. filtering
the best responses from an existing model) and
scavenging from other projects

> Directly Competing With Open Source
Is a Losing Proposition

> Paradoxically, the one clear winner in all of this is Meta.
Because the leaked model was theirs ([LLaMA](tag:llama)), they have
effectively garnered an entire planet's worth of free labor.
Since most open source innovation is happening on top of
their architecture, there is nothing stopping them from
directly incorporating it into their products.

2023-05-04 A propos

Aran Komatsuzaki sur Twitter : "JaxPruner: A concise library for sparsity research An open-source JAX-based pruning and sparse training library for machine learning research repo"

Tags:

2023-04-28 A propos

ArxivGPT - Chrome Web Store

Tags:

2023-04-27 A propos

[2303.16839] MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Tags:

2023-04-25 A propos

[2304.09848] Evaluating Verifiability in Generative Search Engines

Tags:

2023-04-23 A propos

The Embedding Archives: Millions of Wikipedia Article Embeddings in Many Languages

Tags:

2023-04-21 A propos

Notebook by OpenAI which demos a Q&A workflow using ChatGPT API· openai/openai-cookbook

Tags:

2023-04-15 A propos

openai/chatgpt-retrieval-plugin: The ChatGPT Retrieval Plugin

Tags:

2023-04-13 A propos

Domain Adaptation with Generative Pseudo-Labeling (GPL) | Pinecone

Tags:

2023-04-09 A propos

Nirant sur Twitter : "1/ As vector databases continue raising funds, let's reevaluate the landscape. Scale is important, but FAISS did billion-vectors in 2017. What do we use them for? Private Search Engines..."

Tags:

2023-04-08 A propos

Classifying long textual documents (up to 25 000 tokens) using BERT | by Sinequa | (2020)

Tags:

2023-04-07 A propos

Sinequa Brings the Power of ChatGPT to the Enterprise With Neural Search

Tags:

2023-04-07 A propos

Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"

Tags:

2023-04-07 A propos

Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."

Tags:

2023-04-07 A propos

Diffusion language models – Sander Dieleman

Tags:

2023-04-06 A propos

Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."

Tags:

2023-04-05 A propos

[2304.01982] Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

Tags:

2023-04-05 A propos

Universal Speech Model

Tags:

2023-03-30 A propos

whitead/paper-qa: LLM Chain for answering questions from documents with citations

Tags:

2023-03-29 A propos

Niels Rogge sur Twitter : "@GoogleAI's Pix2Struct now available in 🤗 Transformers!"

Tags:

2023-03-27 A propos

raphaelsty.github.io/knowledge demo

Tags:

2023-03-15 A propos

Enabling Python VirtualEnv in JupyterLab | My Shitty Code

Tags:

2023-03-08 A propos

[2112.05682] Self-attention Does Not Need O(n^2) Memory

Tags:

2023-02-27 A propos

Building Monocle, a universal personal search engine for life | thesephist.com

Tags:

2023-02-25 A propos

Chatbots Gone Wild, Surveillance Takes Hold, Rules for Military AI, Robot Training Streamlined

Tags:

2023-02-23 A propos

‘I want to destroy whatever I want’: Bing’s AI chatbot unsettles US reporter | Artificial intelligence (AI) | The Guardian

Tags:

Bing+ChatGPT

2023-02-18 A propos

[2108.08877] Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Tags:

2023-02-17 A propos

Maarten Grootendorst sur Twitter : "The v0.14 release of BERTopic is here. Fine-tune your topic keywords and labels with models from @OpenAI, @huggingface, @CohereAI, @spacy_io, and @LangChainAI... An overview thread"

Tags:

2023-02-15 A propos

Jim Fan sur Twitter : "Do you know that DeepMind has actually open-sourced the heart of AlphaGo & AlphaZero?... "

Tags:

2023-02-15 A propos

Guiding Frozen Language Models with Learned Soft Prompts – Google AI Blog

Tags:

2023-02-14 A propos

[2203.14465] STaR: Bootstrapping Reasoning With Reasoning

Tags:

2023-02-07 A propos

Google announces ChatGPT rival Bard, with wider availability in ‘coming weeks’ - The Verge

Tags:

2023-02-07 A propos

Ramsri Goutham Golla sur Twitter : "The most practical open-source competitor to @OpenAI 's GPT-3 is Google's Flan-T5 Here are 5 Flan-T5 resources to try out easily, deploy, or fine-tune it! 🧵" / Twitter

Tags:

2023-02-04 A propos

The Flan Collection: Advancing open source methods for instruction tuning – Google AI Blog

Tags:

2023-02-02 A propos

Shayne Longpre sur Twitter : "What’s the best completely public competitor to #ChatGPT? Flan-T5 beats all public models we tested..."

Tags:

2023-02-01 A propos

Créer un notebook JupyterLab Vertex AI | Google Cloud

Tags:

VertexAI

2023-01-31 A propos

5 steps to go from a notebook to a deployed model — The TensorFlow Blog

Tags:

2023-01-31 A propos

Andrej Karpathy sur Twitter : "Let's build GPT: from scratch, in code, spelled out."

Tags:

2023-01-28 A propos

Neural Networks: Zero To Hero

Tags:

2023-01-28 A propos

LaMDA: our breakthrough conversation technology

Tags:

Google LaMDA

2023-01-28 A propos

An empirical analysis of compute-optimal large language model training

Tags:

2023-01-26 A propos

Characterizing Emergent Phenomena in Large Language Models – Google AI Blog

Tags:

2023-01-26 A propos

François Chollet sur Twitter : "I'm pretty optimistic that the LLM reliability / factualness issue can be fixed. The key is to use LLMs as a dialog interface and not as a store of knowledge..."

Tags:

2023-01-24 A propos

[2301.08210] Everything is Connected: Graph Neural Networks

Tags:

2023-01-21 A propos

Perplexity AI

Tags:

perplexity.ai

2023-01-20 A propos

How to Upload And Download Files From AWS S3 Using Python (2022) | Towards Data Science

Tags:

2023-01-19 A propos

Multilingual Sentence Transformers | Pinecone

Tags:

2023-01-13 A propos

AlphaFold’s new rival? Meta AI predicts shape of 600 million proteins

Tags:

2023-01-11 A propos

Andrej Karpathy sur Twitter : "Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size..."

Tags:

2023-01-05 A propos

Apache Jena - RDF Patch

Tags:

Jena

2023-01-03 A propos

elvis sur Twitter : "NEW: Meta AI introduces OPT-IML, a large language model (175B) fine-tuned on 2000 NLP tasks. Uses instruction-tuning to improve zero-shot and few-shot generalization abilities...."

Tags:

2022-12-23 A propos

IBM/zshot: Zero and Few shot named entity & relationships recognition

Tags:

2022-12-23 A propos

Akari Asai sur Twitter : "Can we solely rely on LLMs’ memories (eg replace search w ChatGPT)? Probably not... Our analysis shows how retrieval is complementary to LLMs’ parametric knowledge..."

Tags:

2022-12-21 A propos

Rohan Anil sur Twitter : "Next big jump with Neural Network performance is going to happen when community embraces non-uniformity

Tags:

2022-12-18 A propos

ValueError "invalid literal for int() with base 10" in trainer.evaluate (dataset created from pandas) · Issue #228 · huggingface/setfit

Tags:

2022-12-13 A propos

[2212.01340] Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking

Tags:

2022-12-06 A propos

Few-Shot Text Classification (Cloudera 2020)

Tags:

2022-11-24 A propos

[2210.13952] KnowGL: Knowledge Generation and Linking from Text

Tags:

2022-11-13 A propos

Alex sur Twitter : "Semantic search: how you can leverage both @CohereAI and @pinecone libraries to quickly build a POC..."

Tags:

2022-11-08 A propos

Text classification by labeling words | Proceedings of the 19th national conference on Artifical intelligence (2004)

Tags:

2022-11-08 A propos

Pretrained Transformer Language Models for Search | Vespa Blog

Tags:

2022-11-04 A propos

One of the Biggest Problems in Biology Has Finally Been Solved - Scientific American

Tags:

2022-11-01 A propos

cardiffnlp/tweetnlp: "TweetNLP for all the NLP enthusiasts working on Twitter!..."

Tags:

2022-10-27 A propos

[2202.06991] Transformer Memory as a Differentiable Search Index

Tags:

2022-10-25 A propos

MOOC À la découverte de la civilisation hittite | Sorbonne Université

Tags:

2022-10-18 A propos

Tutorial on Uncertainty Estimation for NLP

Tags:

2022-10-18 A propos

Stephanie Chan sur Twitter : "Transformer inductive biases..."

Tags:

2022-10-14 A propos

Lewis Tunstall sur Twitter : "The SetFit library for few-shot learning with Sentence Transformers now supports *multi-label text classification*..."

Tags:

2022-10-14 A propos

huggingface/setfit: Efficient few-shot learning with Sentence Transformers

Tags:

2022-10-12 A propos

Santiago sur Twitter : "If you have an Apple M1 or M2 and don't take advantage of its GPU, I'm about to change your life..."

Tags:

2022-10-07 A propos

MaartenGr/KeyBERT: Minimal keyword extraction with BERT

Tags:

2022-10-06 A propos

Yi Tay sur Twitter : "Don't retrieve, recite!..."

Tags:

2022-10-06 A propos

Zshot: Zero and Few shot named entity & relationships recognition

Tags:

2022-10-01 A propos

[2205.11498] Domain Adaptation for Memory-Efficient Dense Retrieval

Tags:

2022-09-26 A propos

[2209.11055] Efficient Few-Shot Learning Without Prompts

Tags:

2022-09-23 A propos

Google AI Blog: TensorStore for High-Performance, Scalable Array Storage

Tags:

2022-09-23 A propos

PromptBERT improving BERT sentence embeddings with prompts - Ethan Kim

Tags:

BERT + Sentence Embeddings

2022-09-16 A propos

[2201.04337] PromptBERT: Improving BERT Sentence Embeddings with Prompts

Tags:

2022-09-16 A propos

Prompt Tuning BERT🎯:CommonLit Readability | Kaggle

Tags:

2022-09-16 A propos

Self-Attention - Transformer Network | Coursera

Tags:

2022-09-11 A propos

[2010.00711] A Survey of the State of Explainable AI for Natural Language Processing

Tags:

2022-09-08 A propos

Active Learning: A Survey (C. Aggarwal 2014)

Tags:

2022-09-06 A propos

Active Learning for BERT: An Empirical Study - ACL Anthology

Tags:

2022-09-02 A propos

[2106.10199] BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Tags:

2022-09-01 A propos

[1904.04458] Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition

Tags:

Knowledge Augmented
Language Model (KALM)

a language
model with access to information available in a
KB, no assumptions
about the availability of additional components
(such as Named Entity Taggers) or annotations

> While classes of
named entities (e.g., person or location) occur frequently,
each individual name (e.g, Atherton or
Zhouzhuang) may be observed infrequently even
in a very large corpus of text. As a result language
models learn to represent accurately only the most
popular named entities

> knowing that Alice is a name
used to refer to a person should give ample information
about the context in which the word may
occur (e.g., Bob visited Alice).

> ---

> extends a traditional **RNN LM**

> we enhance a traditional LM with a
gating mechanism that controls whether a particular
word is modeled as a general word or as a reference
to an entity
>
> We train the model end-to-end
with only the traditional predictive language modeling
perplexity objective
>
> KALM is trained end-to-end using
a predictive objective on large corpus of text.

> To the best of our knowledge, KALM is the first
unsupervised neural NER approach.

> KALM extends a traditional, RNN-based neural
LM.

2022-08-31 A propos

On Stability of Few-Sample Transformer Fine-Tuning | Kaggle

Tags:

2022-08-29 A propos

AllenNLP sur Twitter : "Dataset: training data for @MetaAI 's No Language Left Behind NLLB-200 models!..."

Tags:

2022-08-25 A propos

Timo Schick sur Twitter : "PEER, a language model trained to incrementally write texts & collaborate w/ humans ..."

Tags:

2022-08-25 A propos

François Scharffe sur Twitter : "Exciting developments for query answering over graph neural networks" / Twitter

Tags:

2022-08-23 A propos

Karl Higley sur Twitter : "Many ANN search tools (e.g. FAISS, ScaNN) allow you to provide multiple points as part of the same query..."

Tags:

2022-08-20 A propos

Unsupervised Learning — Sentence-Transformers documentation

Tags:

2022-08-20 A propos

Train and Fine-Tune Sentence Transformers Models

Tags:

Sentence-BERT

2022-08-13 A propos

BlenderBot 3: A 175B parameter, publicly available chatbot that improves its skills and safety over time

Tags:

BlenderBot

2022-08-09 A propos

[2012.15156] A Memory Efficient Baseline for Open Domain Question Answering

Tags:

2022-08-08 A propos

[2208.03299] Few-shot Learning with Retrieval Augmented Language Model

Tags:

2022-08-08 A propos

Sparql Secrets In Jena-Fuseki - DataScienceCentral.com

Tags:

Jena Fuseki

2022-07-26 A propos

[2205.00820] Entity-aware Transformers for Entity Search

Tags:

2022-07-12 A propos

Leshem Choshen sur Twitter : "Computational (Chomskian) hierarchies can predict OOD capabilities..."

Tags:

2022-07-11 A propos

[2206.10658] Questions Are All You Need to Train a Dense Passage Retriever

Tags:

> **approach for training dense retrieval models that does not require any labeled training data**. Dense retrieval is a central challenge for open-domain tasks, such as Open QA, where state-of-the-art methods typically require large supervised datasets with custom hard-negative mining and denoising of positive examples.
>
> ART, in contrast, only requires access to unpaired inputs and outputs (e.g. questions and potential answer documents).
>
> It uses a new document-retrieval autoencoding scheme, where
> 1. an input question is used to retrieve a set of evidence documents, and
> 2. the documents are then used to compute the probability of reconstructing the original question.
>
> Training for retrieval based on question reconstruction enables effective unsupervised learning of both document and question encoders, which can be later incorporated into complete Open QA systems without any further finetuning.

[Tweet](doc:2022/07/devendra_singh_sachan_sur_twitt)

> Given an
input question, ART first retrieves a small set
of possible evidences documents. It then recon
structs
the original question by attending to these
documents
>
> The
key idea in ART is to consider the retrieved documents
as a noisy representation of the original
question and question reconstruction probability
as a way of denoising that provides soft-labels for
how likely each document is to have been the correct
result

Refers to [[IZACARD 2012.04584] Distilling Knowledge from Reader to Retriever for Question Answering](doc:2020/12/2012_04584_distilling_knowled)

2022-07-06 A propos

No Language Left Behind

Tags:

2022-07-06 A propos

Unveiling Transformers with LEGO - YouTube

Tags:

2022-06-30 A propos

Using BERT For Classifying Documents with Long Texts | by Armand Olivares | Medium

Tags:

2022-06-29 A propos

Chris Olah sur Twitter : "I'm excited to *finally* be making progress on understanding the first MLP layer in large transformer LMs. I've tried really hard and prior to SoLU had little success." / Twitter

Tags:

2022-06-27 A propos

Google AI Blog: LIMoE: Learning Multiple Modalities with One Sparse Mixture-of-Experts Model

Tags:

2022-06-26 A propos

sentence bert model in onnx format · Issue #46 · UKPLab/sentence-transformers

Tags:

2022-06-13 A propos

[2205.15952] Knowledge Graph -- Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

Tags:

2022-06-11 A propos

Understanding Semantic Search and Question Answering | deepset

Tags:

2022-06-03 A propos

Domain transfer with GGPL: German Generative Pseudo Labeling 🥨 | by Matthias Richter | Jun, 2022 | ML6team

Tags:

2022-06-02 A propos

Nils Reimers sur Twitter : "GPL goes multi-lingual..."

Tags:

2022-06-01 A propos

[2205.08184] SKILL: Structured Knowledge Infusion for Large Language Models

Tags:

2022-05-18 A propos

[2205.05131] Unifying Language Learning Paradigms

Tags:

2022-05-12 A propos

BERTopic: The Future of Topic Modeling | Pinecone

Tags:

2022-05-12 A propos

[2205.04260] EASE: Entity-Aware Contrastive Learning of Sentence Embedding

Tags:

2022-05-11 A propos

[2203.08913] Memorizing Transformers

Tags:

2022-05-07 A propos

[2008.09470] Top2Vec: Distributed Representations of Topics

Tags:

2022-04-28 A propos

Ramsri Goutham Golla sur Twitter : "Hi @Nils_Reimers For GPL you used "msmarco-distilbert-base-tas-b" model and ..."

Tags:

2022-04-27 A propos

Devendra Singh Sachan sur Twitter : "...Unsupervised Passage Re-ranker (UPR), an approach to re-rank retrieved passages for information retrieval tasks."

Tags:

2022-04-18 A propos

[1909.00426] Global Entity Disambiguation with BERT

Tags:

2022-04-18 A propos

[2110.08151] mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models

Tags:

[Ikuya Yamada sur Twitter : "Is entity representation effective to improve multilingual language models?..."](doc:2022/04/ikuya_yamada_sur_twitter_is_)

> Recent studies have shown that multilingual pretrained language models can be effectively improved with cross-lingual alignment information from Wikipedia entities. However, **existing methods only exploit entity information in pretraining and do not explicitly use entities in downstream tasks**. In this study, we explore the **effectiveness of leveraging entity representations for downstream cross-lingual tasks**.
>
> the key insight is that incorporating entity representations into the input allows us to extract more language-agnostic features.

[Github](https://github.com/studio-ousia/luke)

> Entity representations are known to enhance
language models in mono-lingual settings
(Zhang et al., 2019: [ERNIE](tag:ernie.html); Peters et al., 2019:  [[1909.04164] Knowledge Enhanced Contextual Word Representations](doc:2020/05/1909_04164_knowledge_enhanced); Wang et al.,
2021 [[1911.06136] KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation](doc:2020/11/1911_06136_kepler_a_unified_); Xiong et al., 2020; Yamada et al., 2020: [[2010.01057] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention](doc:2020/11/2010_01057_luke_deep_context))
presumably by introducing real-world knowledge.
We show that using entity representations facilitates
cross-lingual transfer by providing languageindependent
features.
>
> Multilingual extension of LUKE. The model is trained with the multilingual
masked language modeling (MLM) task as well
as the masked entity prediction (MEP) task with
Wikipedia entity embeddings

> We investigate two ways of using the entity representations
in cross-lingual transfer tasks:
> 1. perform
entity linking for the input text, and append
the detected entity tokens to the input sequence.
The entity tokens are expected to provide language independent
features to the model
> 2. use the entity
[MASK] token from the MEP task as a languageindependent
feature extractor.

2022-04-17 A propos

Ikuya Yamada sur Twitter : "Is entity representation effective to improve multilingual language models?..."

Tags:

2022-04-13 A propos

Tu Vu sur Twitter : "Enormous LMs like GPT-3 exhibit impressive few-shot performance, but w/ self-training a BERT base sized model can achieve much better results!

Tags:

2022-04-13 A propos

[2203.10581] Cluster & Tune: Boost Cold Start Performance in Text Classification

Tags:

[Leshem Choshen sur Twitter : "Labelled data is scarce, what can we do?..."](doc:2022/04/leshem_choshen_sur_twitter_l)

> **One-sentence Summary**: we suggest adding an unsupervised intermediate classification step, before finetunning and after pretraining BERT, and show it improves performance for data-constrained cases.

> for text classification cold start (when labeled
data is scarce), **add an intermediate unsupervised
classification task**, between the pretraining
and fine-tuning phases:
> perform clustering and
train the pre-trained model on predicting the
cluster labels.

> this additional
classification phase can significantly improve
performance, mainly for **topical classification**
tasks

> we use an efficient clustering technique,
that relies on simple Bag Of Words (BOW)
representations, to partition the unlabeled training
data into relatively homogeneous clusters of text
instances.
>
> Next, we treat these clusters as labeled
data for an intermediate text classification task, and
train the pre-trained model – with or without additional
MLM pretraining – with respect to this
multi-class problem, prior to the final fine-tuning
over the actual target-task labels

> The underlying
intuition is that inter-training the model
over a related text classification task would be more
beneficial compared to MLM inter-training, which
focuses on different textual entities, namely predicting
the identity of a single token.

2022-04-06 A propos

Leshem Choshen sur Twitter : "Labelled data is scarce, what can we do?..."

Tags:

2022-04-06 A propos

Google AI Blog: Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance

Tags:

2022-04-05 A propos

[2008.11228] A simple method for domain adaptation of sentence embeddings

Tags:

2022-04-01 A propos

[2004.05119] Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer

Tags:

2022-03-31 A propos

Sentence Transformer Fine-Tuning (SetFit): Outperforming GPT-3 on few-shot Text-Classification while being 1600 times smaller | by Moshe Wasserblat (2021-12)

Tags:

2022-03-31 A propos

Nils Reimers sur Twitter : "Great post on SetFit"

Tags:

2022-03-31 A propos

Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium

Tags:

2022-03-31 A propos

Domain Adaptation — Sentence-Transformers documentation

Tags:

2022-03-31 A propos

[2203.14655] Few-Shot Learning with Siamese Networks and Label Tuning

Tags:

> the problem of building text classifiers with little or no training data.
>
> In recent years, an approach based on neural textual entailment models has been found to give strong results on a diverse range of tasks.

(cf. #[NLI](tag:nli), using the input text as the premise and the text representing the label as the hypothesis)

> In this work, we show that **with proper pre-training, Siamese Networks that embed texts and labels** offer a competitive alternative.
>
> We introduce **label tuning: fine-tuning the label embeddings only**. While giving lower performance than model fine-tuning (which updates all params of the model), this approach has the architectural advantage that a single encoder can be shared by many different tasks (we only fine-tune the label embeddings)
> The drop in quality can
be compensated by using a variant of **[Knowledge distillation](tag:knowledge_distillation)**

[Github](https://tinyurl.com/label-tuning), [Tweet](doc:2022/03/thomas_muller_sur_twitter_pa)

2022-03-30 A propos

Jason Weston sur Twitter : "SeeKeR: An open source search-augmented language model"

Tags:

2022-03-25 A propos

[2006.05987] Revisiting Few-sample BERT Fine-tuning

Tags:

2022-03-21 A propos

NLP | How to add a domain-specific vocabulary (new tokens) to a subword tokenizer already trained like BERT WordPiece | by Pierre Guillou | Medium

Tags:

2022-03-18 A propos

Studio Ousia sur Twitter : "Now using LUKE is easier than ever!" / Twitter

Tags:

2022-03-15 A propos

Andrew Trask about large language models: The "bigness" is a temporary flaw, not a permanent feature of progress"

Tags:

2022-03-13 A propos

ddangelov/Top2Vec: Top2Vec learns jointly embedded topic, document and word vectors.

Tags:

> Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.
>
> "Update: Pre-trained Universal Sentence Encoders and BERT Sentence Transformer now available for embedding."

> **The assumption the algorithm makes is that many semantically similar documents are indicative of an underlying topic**. The first step is to create a joint embedding of document and word vectors. Once documents and words are embedded in a vector space the goal of the algorithm is to find dense clusters of documents, then identify which words attracted those documents together. Each dense area is a topic and the words that attracted the documents to the dense area are the topic words.

> Once you train the Top2Vec model you can:
> - ...
> - Get **hierarchical topics**.
> - Search topics by keywords.
> - Search documents by topic, by keywords.
> - Find similar words, similar documents.

Refered by [BERTopic](doc:2022/03/maartengr_bertopic_leveraging_)

2022-03-10 A propos

MaartenGr/BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Tags:

2022-03-10 A propos

Document Matching for Job Descriptions | Semantic Scholar (2021)

Tags:

2022-03-09 A propos

NAVER LABS Europe : "@Nils_Reimers of @huggingface on 'Unsupervised domain adaptation for neural search'"

Tags:

2022-03-09 A propos

[2109.06304] Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration

Tags:

2022-02-25 A propos

Nils Reimers sur Twitter : "Creating intent classes for chatbots is challenging This tutorial shows how to use sentence-transformers to find potentially overlapping intent classes and how to improve your data annotation work." / Twitter

Tags:

2022-02-19 A propos

Nils Reimers sur Twitter : "how to use the fast clustering algorithm from sentence-transformers..."

Tags:

2022-02-19 A propos

Semantic Keyword Clustering For 10,000+ Keywords [With Script]

Tags:

2022-02-18 A propos

sentence-transformers/fast_clustering.py at master · UKPLab/sentence-transformers

Tags:

2022-02-18 A propos

How to Build a Semantic Search Engine With Transformers and Faiss | by Kostas Stathoulopoulos | Towards Data Science

Tags:

2022-01-29 A propos

gsarti/scibert-nli · Hugging Face

Tags:

2022-01-29 A propos

Semantic Search — Sentence-Transformers documentation

Tags:

2022-01-29 A propos

[2009.02252] KILT: a Benchmark for Knowledge Intensive Language Tasks

Tags:

2022-01-23 A propos

[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling

Tags:

2022-01-19 A propos

[2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Tags:

2022-01-19 A propos

sebastian-hofstaetter/teaching: Open-Source Information Retrieval Courses @ TU Wien

Tags:

Course Material on IR

2022-01-17 A propos

Colab+GCP Compute — how to link them together | by Gautham Senthilnathan | Medium

Tags:

2022-01-14 A propos

[1906.00300] Latent Retrieval for Weakly Supervised Open Domain Question Answering

Tags:

2022-01-11 A propos

Domain Transfer with BERT | Pinecone

Tags:

2022-01-04 A propos

Anthropic sur Twitter : "a mathematical framework for trying to reverse engineer transformer language models..."

Tags:

2021-12-23 A propos

[2112.09118] Towards Unsupervised Dense Information Retrieval with Contrastive Learning

Tags:

2021-12-21 A propos

Making the Most of Data: Augmentation with BERT | Pinecone

Tags:

2021-12-18 A propos

Vespa Blog

Tags:

2021-12-17 A propos

Vespa - the big data serving engine

Tags:

Vespa

2021-12-17 A propos

Using pretrained SBERT model in cross-encoder · Issue #726 · UKPLab/sentence-transformers

Tags:

2021-12-17 A propos

Advance BERT model via transferring knowledge from Cross-Encoders to Bi-Encoders | by Chien Vu | Towards Data Science

Tags:

2021-12-17 A propos

[2112.07577] GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Tags:

An unsupervised domain adaptation technique for dense retrieval models

1. synthetic queries
are generated for each passage from the target corpus (using an existing pre-trained [T5](tag:text_to_text_transfer_transformer)
encoder-decoder)
2. the generated queries are used for mining negative
passages (retrieving the most similar
paragraphs using an existing dense retrieval
model == hard negatives!)
3. the query-passage pairs are labeled by a cross-encoder and used to train the domain-adapted
dense retriever (using method described in [Hofstätter et al.,
2020](doc:2021/12/2010_02666_improving_efficien))

[Nils Reimers sur Twitter](doc:2021/12/nils_reimers_sur_twitter_do_), [GitHub](https://github.com/UKPLab/gpl),  by the author of [TSDAE](doc:2021/09/2104_06979_tsdae_using_trans)

Claims to improve "Doc2Query" [Document Expansion by Query Prediction](doc:2022/01/1904_08375_document_expansion): ([src](https://twitter.com/KexinWang2049/status/1471435779415150598))

> - GPL: Uses doc2query to construct synthetic data and does knowledge distillation (i.e. training) on that data.
> - Doc2query: Generates queries to extend the documents and use BM25 on top of them w/o training.

2021-12-15 A propos

Improving Language Models by Retrieving from Trillions of Tokens | DeepMind

Tags:

2021-12-09 A propos

facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions

Tags:

2021-12-08 A propos

[1906.04980] Unsupervised Question Answering by Cloze Translation

Tags:

2021-12-08 A propos

facebookresearch/UnsupervisedQA: Unsupervised Question answering via Cloze Translation

Tags:

2021-12-07 A propos

Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

Tags:

2021-12-05 A propos

Unsupervised_Extractive_Summarization - a Hugging Face Space by Hellisotherpeople

Tags:

2021-12-03 A propos

5 Reasons Knowledge Graph will never bloom | by Dongsheng Wang | Medium

Tags:

2021-12-02 A propos

Sea - Internet-Augmented Dialogue Generation

Tags:

2021-11-25 A propos

Unsupervised Training for Sentence Transformers | Pinecone

Tags:

2021-11-24 A propos

[1705.06476] ParlAI: A Dialog Research Software Platform

Tags:

2021-11-21 A propos

How to Fine-Tune Sentence-BERT for Question Answering | Capital One

Tags:

2021-11-21 A propos

Tutorial: Training AI bots to chat using MTurk and Facebook’s ParlAI | by Amazon Mechanical Turk | Happenings at MTurk

Tags:

2021-11-19 A propos

ParlAI

Tags:

ParlAI

2021-11-19 A propos

Blenderbot2

Tags:

2021-11-19 A propos

Andrea Volpini sur Twitter : New blog post on #ContentHub for #Semantic #SEO. How to cluster content using Knowledge Graph Embeddings to detect: ✓ Clusters ✓ Sub-topics ✓ Author's topical authority

Tags:

2021-11-16 A propos

Multilingual Sentence Transformers | Pinecone

Tags:

2021-11-04 A propos

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations – Google Research (WWW 2020)

Tags:

2021-11-04 A propos

Train embeddings by using the Two-Tower built-in algorithm | Vertex AI

Tags:

> The Two-Tower model pairs similar types of objects, such as user profiles, search queries, web documents, answer passages, or images, in the same vector space, so that related items are close to each other. **The Two-Tower model consists of two encoder towers: the query tower and the candidate tower**. These towers embed independent items into a shared embedding space, which lets Matching Engine retrieve similarly matched items.
>
> To train a Two-Tower model, Google uses **pairs of relevant items**. Each pair consists of a query document and a candidate document. Documents contain arbitrary customer-defined features including text, numeric, and categorical features. After training, the Two-Tower built-in algorithm exports two TensorFlow SavedModels—a query encoder and a candidate encoder... Given a query item, Matching Engine uses the query encoder to generate a query embedding, and uses the index to find similar candidate embeddings. Matching Engine uses the candidate encoder to index all the items and serve them by using an approximate nearest neighbor solution.

2021-11-04 A propos

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines (2021)

Tags:

2021-10-30 A propos

Next-Gen Sentence Embeddings with Multiple Negatives Ranking Loss | Pinecone

Tags:

2021-10-27 A propos

Isotropy in the Contextual Embedding Space: Clusters and Manifolds | OpenReview

Tags:

2021-10-26 A propos

Sentence Embeddings and Transformers | Pinecone

Tags:

2021-10-23 A propos

AlphaFold 2 is here: what’s behind the structure prediction miracle | Oxford Protein Informatics Group

Tags:

AlphaFold

2021-10-20 A propos

L’intelligence artificielle, génie de la biologie moléculaire

Tags:

2021-10-20 A propos

James Briggs sur Twitter : *free* course on vector similarity search and Faiss..."

Tags:

2021-10-16 A propos

Sahajtomar/french_semantic · Hugging Face

Tags:

2021-10-14 A propos

Omer Levy sur Twitter : "What if I told you that fine-tuning T5-Large (0.8B params) on a couple hundred examples could outperform GPT-3 (175B params) on a bunch of tasks?"

Tags:

2021-10-13 A propos

Google AI Blog: Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer (2020)

Tags:

2021-10-13 A propos

FastAPI

Tags:

2021-10-04 A propos

raphaelsty/RetrieverReader: Fast API QA

Tags:

2021-10-04 A propos

Enterprise Knowledge Graph Foundation

Tags:

2021-10-02 A propos

Building a sentence embedding index with fastText and BM25 | by David Mezzetti | Towards Data Science

Tags:

2021-09-30 A propos

neuml/txtai: Build AI-powered semantic search applications

Tags:

txtai

2021-09-30 A propos

[2106.04647] Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Tags:

2021-09-29 A propos

[2010.12566] DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries

Tags:

2021-09-06 A propos

A Gentle Introduction to Graph Neural Networks

Tags:

2021-09-03 A propos

Agostina Calabrese sur Twitter : Structured Sentiment Analysis as Dependency Graph Parsing

Tags:

2021-08-02 A propos

[1911.02116] Unsupervised Cross-lingual Representation Learning at Scale

Tags:

2021-07-29 A propos

Google AI Blog: From Vision to Language: Semi-supervised Learning in Action…at Scale

Tags:

2021-07-14 A propos

A Moderate Proposal for Radically Better AI-powered Web Search

Tags:

2021-07-10 A propos

[2102.07043] Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

Tags:

> a method for constructing **a virtual KB (VKB) trained entirely from text**

Open Predicate Query Language (OPQL): constructing a virtual knowledge base (VKB) that supports KB reasoning & open-domain QA, tackling the incompleteness of knowledge bases by constructing a virtual KB only from text

> OPQL constructs
a VKB by **encoding and indexing a set of
relation mentions** in a way that naturally enables
reasoning and can be trained without any structured
supervision.

> can be used
as an **external memory integrated into a language
model**

cf. this earlier paper [[2002.10640] Differentiable Reasoning over a Virtual Knowledge Base](doc:2020/07/2002_10640_differentiable_rea). But does not require an initial structured KB for distant
supervision.

> The key idea in constructing the OPQL VKB is to use a
dual-encoder pre-training process, similar to 
[[1906.03158] Matching the Blanks: Distributional Similarity for Relation Learning](doc:2021/05/1906_03158_matching_the_blank)

Related work section refers to [[1909.04164] Knowledge Enhanced Contextual Word Representations](doc:2020/05/1909_04164_knowledge_enhanced). Also refers to [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_) (some authors in common)

2021-06-20 A propos

[1410.5859] Towards a Model Theory for Distributed Representations

Tags:

2021-06-10 A propos

Matching and mining in knowledge graphs of the Web of data Applications in pharmacogenomics

Tags:

2021-06-10 A propos

Calling your own JavaScript functions from SPARQL queries

Tags:

2021-06-07 A propos

Semantic Search with S-BERT is all you need

Tags:

2021-06-05 A propos

[2004.04906] Dense Passage Retrieval for Open-Domain Question Answering

Tags:

2021-06-03 A propos

Transformers Pipelines.ipynb - Colaboratory

Tags:

2021-05-26 A propos

Making sense of raw input

Tags:

2021-05-21 A propos

Enterprise Knowledge Graph Solutions | eccenca

Tags:

2021-05-19 A propos

[1906.03158] Matching the Blanks: Distributional Similarity for Relation Learning

Tags:

2021-05-13 A propos

fastai v2 cheat sheets

Tags:

2021-05-10 A propos

[2104.14690] Entailment as Few-Shot Learner

Tags:

2021-05-03 A propos

[1909.10506] Learning Dense Representations for Entity Retrieval

Tags:

> We show that it is feasible to perform **entity
linking by training a dual encoder (two-tower)
model that encodes mentions and entities in
the same dense vector space**, where candidate
entities are retrieved by approximate nearest
neighbor search. Unlike prior work, **this setup
does not rely on an alias table followed by a
re-ranker, and is thus the first fully learned entity
retrieval model**.

Contributions:

> -  a dual encoder architecture for
learning entity and mention encodings suitable for
retrieval. A key feature of the architecture is that it
employs a modular **hierarchy of sub-encoders that
capture different aspects of mentions and entities**
> - a simple, fully unsupervised **hard negative
mining** strategy that produces massive gains
in retrieval performance, compared to using only
random negatives
> - high
quality candidate entities very efficiently using approximate nearest neighbor search
> - outperforms discrete retrieval
baselines like an alias table or BM25

> strong retrieval
performance across all 5.7 million Wikipedia entities in
around 3ms per mention

> since we are using a two-tower or dual
encoder architecture, **our model cannot use any kind of attention over
both mentions and entities at once**, nor feature-wise
comparisons as done by Francis-Landau et al. (2016).
This is a fairly severe constraint – for example, **we cannot
directly compare the mention span to the entity title**
– but it permits retrieval with nearest neighbor search
for the entire context against a single, all encompassing
representation for each entity

2021-05-01 A propos

Nils Reimers sur Twitter : "SBERT Release v1.1.0"

Tags:

2021-04-22 A propos

A Survey of Text Clustering Algorithms - C. C. Aggarwal (2012)

Tags:

2021-04-20 A propos

[2011.05864] On the Sentence Embeddings from Pre-trained Language Models

Tags:

2021-04-19 A propos

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Tags:

2021-04-18 A propos

Nils Reimers sur Twitter : "New models for Neural Information Retrieval..."

Tags:

2021-04-17 A propos

[2007.12603] IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles

Tags:

2021-04-12 A propos

[2007.15779] Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Tags:

2021-04-11 A propos

[1902.00751] Parameter-Efficient Transfer Learning for NLP

Tags:

2021-04-11 A propos

exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources - ACL Anthology

Tags:

**Focus on the Embedding of Domain-specific Vocabulary.**

> exBERT
adds a new domain-specific vocabulary and the corresponding
embedding layer, as well as a small
extension module to the original unmodified model

> a pretraining
method allowing **low-cost embedding of
domain-specific vocabulary in the context of an
existing large pre-trained model such as BERT**

> exBERT... explicitly incorporates
the new domain’s vocabulary, while being able to
**reuse the original pre-trained model’s weights as is**
to reduce required computation and training data. Specifically, exBERT extends BERT by augmenting
its embeddings for the original vocabulary with
new embeddings for the domain-specific vocabulary
via **a learned small “extension” module**. **The
output of the original and extension modules are
combined via a trainable weighted sum operation**

In a way similar to concept developed in

> [[1902.00751] Parameter-Efficient Transfer Learning for NLP](doc:2021/04/1902_00751_parameter_efficien), but not in the fine-tuning paradigm.

[Github](https://github.com/cgmhaicenter/exBERT)

2021-04-11 A propos

[1910.02227] Making sense of sensory input

Tags:

2021-04-10 A propos

Pulling Turtle RDF triples from the Google Knowledge Graph

Tags:

2021-03-30 A propos

[1901.04085] Passage Re-ranking with BERT

Tags:

2021-03-26 A propos

SentenceTransformers Documentation

Tags:

2021-03-25 A propos

[2010.02194] Self-training Improves Pre-training for Natural Language Understanding

Tags:

2021-03-12 A propos

Rodrigo Nogueira sur Twitter : "Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"

Tags:

2021-03-09 A propos

Zero-Shot Learning in Modern NLP | Joe Davison Blog (2020-05)

Tags:

2021-02-23 A propos

Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"

Tags:

2021-02-23 A propos

Olaf Hartig sur Twitter : "Question: are there any production-ready tools for providing a SPARQL endpoint over a REST-based Web service?"

Tags:

2021-02-20 A propos

kamalkraj/BERT-NER: Pytorch-Named-Entity-Recognition-with-BERT

Tags:

2021-02-07 A propos

Linking Entities with Knowledge Graphs | by Sigurd Berglann | Strise | Medium

Tags:

2021-02-05 A propos

The complexity to construct knowledge graphs and how low code tools can help or hurt you | Medium

Tags:

2021-01-30 A propos

QAnswer · Accessing your Knowledge via Natural Language

Tags:

2021-01-26 A propos

[2010.00904] Autoregressive Entity Retrieval

Tags:

2021-01-14 A propos

[1911.03681] E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

Tags:

> way of **injecting factual knowledge about entities into the pretrained BERT model**.

(Feeding entity vectors
into BERT as if they
were wordpiece vectors without additional encoder
pretraining)

>
> **We align [Wikipedia2Vec](tag:wikipedia2vec) entity vectors (Yamada et al., 2016) with BERT's native wordpiece vector space and use the aligned entity vectors as if they were wordpiece vectors**. The resulting entity-enhanced version of BERT (called E-BERT) is similar in spirit to [ERNIE](tag:ernie) (Zhang et al., 2019) and [KnowBert](tag:knowbert) (Peters et al., 2019), but it **requires no expensive further pretraining of the BERT encoder**.
>
> Our vector space alignment strategy is inspired by
cross-lingual word vector alignment

Related work on Entity-enhanced BERT:

> ([ERNIE](doc:2019/08/_1905_07129_ernie_enhanced_la) and [Knowbert](doc:2020/05/1909_04164_knowledge_enhanced)) are based on the design principle
that BERT be adapted to entity vectors. They introduce
new encoder layers to feed pretrained entity
vectors into the Transformer, and they require additional
pretraining to integrate the new parameters.
In contrast, E-BERT’s design principle is that entity
vectors be adapted to BERT.
>
> Two other knowledge-enhanced MLMs are [KEPLER](doc:2020/11/1911_06136_kepler_a_unified_)
(Wang et al., 2019c) and K-Adapter (Wang
et al., 2020)... Their factual knowledge
does not stem from entity vectors – instead, they
are trained in a multi-task setting on relation classification
and knowledge base completion.

Not to be cofounded with [[2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce](doc:2020/12/2009_02835_e_bert_a_phrase_a)

2021-01-12 A propos

Quantum neuromorphic computing: Applied Physics Letters: Vol 117, No 15

Tags:

2021-01-04 A propos

elvis sur Twitter : "Today I kept thinking about the machine learning / NLP / deep learning related blog posts (not papers) that have been transformational for me..."

Tags:

2020-12-22 A propos

google/tapas-base-finetuned-wtq · Hugging Face

Tags:

2020-12-17 A propos

[2009.02835] E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Tags:

2020-12-14 A propos

[2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training

Tags:

**Augment language model pre-training with a retriever module**, which
is trained using the masked language modeling objective.

> To capture knowledge in a more modular and interpretable way, we augment language model pre-training with a latent knowledge retriever, which allows the model to retrieve and attend over documents from a large corpus such as Wikipedia, used during pre-training, fine-tuning and inference. **For the first time, we show how to pre-train such a knowledge retriever in an unsupervised manner**, using masked language modeling as the learning signal and backpropagating through a retrieval step that considers millions of documents

Hum, #TODO: parallel to be drawn with techniques in [KG-augmented Language Models](tag:knowledge_graph_augmented_language_models) which focus "on the problem of capturing declarative knowledge in the learned parameters of a language model."

[Google AI Blog Post](doc:2020/08/google_ai_blog_realm_integrat)

[Summary](https://joeddav.github.io/blog/2020/03/03/REALM.html) for the [Hugging Face awesome-papers reading group](doc:2021/03/huggingface_awesome_papers_pap)

2020-12-12 A propos

[2012.04584] Distilling Knowledge from Reader to Retriever for Question Answering

Tags:

> a method to train an information retrieval module for downstream tasks, **without using pairs of queries and documents as annotations**.

Uses two models (standard pipeline for open-domain QA):

- the first one retrieves documents from a large source of knowledge (the retriever)
- the second one processes the support documents to solve the task (the reader).

> First the retriever selects support passages in a large knowledge
source. Then these passages are processed by the reader, along with the question, to generate an
answer

Inspired by knowledge distillation: the reader model is the teacher and the retriever is the student.

> More precisely, we use a sequence-to-sequence model as the reader, and use
the attention activations over the input documents as synthetic labels to train the retriever. 
> (**train the retriever by learning to approximate the attention score of the reader**)

Refers to:

- [REALM: Retrieval-Augmented Language Model Pre-Training](doc:2020/12/2002_08909_realm_retrieval_a)
- [Dehghani: Neural Ranking Models with Weak Supervision](doc:?uri=https%3A%2F%2Farxiv.org%2Fabs%2F1704.08803)

2020-12-11 A propos

Supporting content decision makers with machine learning | Dec, 2020 | Netflix TechBlog

Tags:

2020-12-11 A propos

Julie Grollier, a (bio)inspired researcher | CNRS News

Tags:

2020-12-10 A propos

Exploration Engines - the koodos collective

Tags:

2020-12-10 A propos

Drew Tada sur Twitter : "Officially launching giantgra.ph A search engine for knowledge graphs..."

Tags:

2020-12-10 A propos

Google AI Blog: Reformer: The Efficient Transformer

Tags:

2020-12-09 A propos

Keyword Extraction with BERT | Towards Data Science

Tags:

2020-12-06 A propos

FP Servant sur Twitter : "constructing a personal knowledge graph as a support for learning (and a metaphor of the learning experience)..."

Tags:

2020-12-03 A propos

How to improve Elasticsearch search relevance with boolean queries | Elastic Blog

Tags:

ElasticSearch

2020-12-02 A propos

Salmon Run: Word Sense Disambiguation using BERT as a Language Model

Tags:

2020-12-01 A propos

Domain-Specific BERT Models · Chris McCormick

Tags:

Domain-Specific BERT

2020-12-01 A propos

Recherche multilingue grâce à la détection de la langue dans Elasticsearch | Elastic Blog

Tags:

2020-11-26 A propos

[2010.01057] LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Tags:

2020-11-26 A propos

node.js - Browserify - How to call function bundled in a file generated through browserify in browser - Stack Overflow

Tags:

2020-11-19 A propos

Kingsley Uyi Idehen sur Twitter : "When I read this & other articles, I leverage our @datasniff browser ext. for highlighting key terms;

Tags:

2020-11-14 A propos

raphaelsty/ckb: Contextual knowledge bases

Tags:

2020-11-09 A propos

[2010.03496] Inductive Entity Representations from Text via Link Prediction

Tags:

BLP "BERT for Link Prediction". Central idea: **training an entity encoder with a
link prediction objective** (using the textual descriptions of entities when computing entity representations - hence not failing with entities unknown in training)

> a method for **learning representations
of entities**, that uses a **pre-trained Transformer** based
architecture as an entity encoder, and
**link prediction training on a knowledge graph
with textual entity descriptions**.

> using entity descriptions,
an entity encoder is trained for link prediction in
a knowledge graph. The encoder can then be used
without fine-tuning to obtain features for entity classification
and information retrieval

Cites [Xie et al](doc:2020/10/representation_learning_of_know) and [Kepler](doc:2020/11/1911_06136_kepler_a_unified_). They claim that their
objective targeted exclusively for link prediction (and not an objective that combines language modeling
and link prediction as Kepler)
performs better than Kepler's more complex one.

2020-11-03 A propos

Construire un bon analyzer français pour Elasticsearch

Tags:

ElasticSearch

2020-10-23 A propos

Building a Faster and Accurate Search Engine on Custom Dataset with Transformers 🤗 | by Shivanand Roy | Analytics Vidhya | Sep, 2020 | Medium

Tags:

2020-10-22 A propos

TAGME: on-the-fly annotation of short text fragments!

Tags:

2020-10-11 A propos

Guillaume Lample sur Twitter : "Last year, we showed that you can outperform a 24-layer transformer in language modeling with just...

Tags:

2020-10-10 A propos

Chris Mungall sur Twitter : "Reading: OWL2Vec*: Embedding of OWL Ontologies"

Tags:

2020-10-07 A propos

Which flavor of BERT should you use for your QA task? | by Olesya Bondarenko | Towards Data Science

Tags:

2020-10-04 A propos

[2010.00402] From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering

Tags:

2020-10-03 A propos

[2009.07938] Type-augmented Relation Prediction in Knowledge Graphs

Tags:

2020-09-19 A propos

raphaelsty/abayes: Autoregressive Bayesian linear model

Tags:

2020-09-11 A propos

Elastic Transformers. Making BERT stretchy — Scalable… | by Mihail Dungarov | Sep, 2020 | Medium

Tags:

2020-09-08 A propos

Searching with Shingles | Elastic Blog

Tags:

2020-09-03 A propos

[2009.00318] More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings

Tags:

2020-09-02 A propos

[1909.01259] Neural Attentive Bag-of-Entities Model for Text Classification

Tags:

A model that performs **text classification using entities in a knowledge base**.

> Entities provide unambiguous and relevant semantic signals that are beneficial for capturing semantics in texts. We combine **simple high-recall entity detection based on a dictionary** (word->list of entities), to detect entities in a document, with a novel neural **attention mechanism that enables the model to focus on a small number of unambiguous and relevant entities**.

2 steps:

1. Entity detection
2. Classification using the detected entities (+text) as inputs

Regarding entity linking, a local model which uses cosine
similarity between the embedding of the target
entity and the word-based representation of
the document to capture the relevance of an entity
given a document.

Embeddings from the KB: computed using [#Wikipedia2Vec](tag:wikipedia2vec) (similar words and entities
close to one another in a unified vector space)

Model using attention, with 2 features :

- cosine similarity between the
embedding of the entity and the word based
representation of the document
- the probability that the entity
name refers to the entity in KB.

Somewhat [related](doc:2020/01/investigating_entity_knowledge_)

### Conclusion:

>a neural
network model that performs text classification using
entities in Wikipedia. We combined simple
dictionary-based entity detection with a neural attention
mechanism to enable the model to focus
on a small number of unambiguous and relevant
entities in a document.

2020-09-02 A propos

[1812.06280] Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

Tags:

2020-09-02 A propos

RDF2vec.org

Tags:

RDF2VEC

2020-09-02 A propos

Google AI Blog: REALM: Integrating Retrieval into Language Representation Models

Tags:

2020-08-13 A propos

UKPLab/sentence-transformers: Sentence Embeddings with BERT & XLNet

Tags:

2020-07-14 A propos

How to use BERT for finding similar sentences or similar news? · Issue #876 · huggingface/transformers

Tags:

2020-07-12 A propos

[2004.07202] Entities as Experts: Sparse Memory Access with Entity Supervision

Tags:

2020-07-11 A propos

Tags:

2020-07-10 A propos

[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge

Tags:

> a neural language model that includes **an explicit interface between symbolically interpretable factual information and subsymbolic neural knowledge.**... **The model can be updated without re-training by manipulating its symbolic representations**. In particular this model allows us to add new facts and overwrite existing ones.

> a **neural language model which learns to access information
in a symbolic knowledge graph.**

> This
model builds on the recently-proposed [Entities as
Experts](doc:2020/07/2004_07202_entities_as_expert) (EaE) language model (Févry et al., 2020),
which extends the same transformer (Vaswani
et al., 2017) architecture of BERT (Devlin et al., 2019) with an additional external memory for entities.
>
> After training EaE, the embedding associated
with an entity will (ideally) capture information
about the textual context in which that
entity appears, and by inference, the entity’s semantic
properties
>
> we include an additional
memory called a fact memory, which encodes
triples from a symbolic KB.
>
> This combination results in a
neural language model which learns to access information
in a the symbolic knowledge graph.

TODO:

- read again IBM's [Span Selection Pre-training for Question Answering](doc:2019/09/_1909_04120_span_selection_pre) ("an effort to avoid encoding general knowledge in the transformer network itself")
- compare with [[1907.05242] Large Memory Layers with Product Keys](doc:2019/07/_1907_05242_large_memory_layer)
- how does it relate with [[2002.08909] REALM: Retrieval-Augmented Language Model Pre-Training](doc:2020/12/2002_08909_realm_retrieval_a)?

2020-07-09 A propos

BERT Word Embeddings Tutorial · Chris McCormick

Tags:

2020-07-06 A propos

Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge (ACL Anthology 2020)

Tags:

Aim to leverage both contextual representation of input text (deep LMs)  and  knowledge derived
from curated KBs ([Wordnet](tag:wordnet)) to improve [slot tagging](tag:slot_tagging) in the presence of [out-of-vocab](tag:oov) words ([few-shot scenario](tag:few_shot_learning))

Method:

1. retrieve potentially relevant KB entities and
encode them into distributed representations that
describe global graph-structured information
2. BERT encoder
layer to capture context-aware representations of
the sequence and attend to the KB embeddings
using multi-level graph attention
3. integrate
BERT embeddings and the KB embeddings
to predict the slot type

Contributions:

1. feasibility of applying lexical ontology
to facilitate recognizing OOV words. First to consider the large-scale background
knowledge for enhancing context-aware
slot tagging models.
2. a knowledge integration mechanism that uses multi-level graph
attention to model explicit lexical relations.
3.experiments on two benchmark datasets

> our method makes a notable difference in a
scenario where samples are linguistically diverse,
and large vocab exists.

(Better improvements when using RNN than BERT, because BERT already contains a lot of background knowledge)

2020-07-04 A propos

dicksontsai/stanford-nlp-local-extension: Chrome extension for sending content to localhost server running Stanford NLP tools.

Tags:

2020-07-03 A propos

Ranked Entities in Search Results at Google

Tags:

2020-07-02 A propos

Tags:

2020-07-02 A propos

[2006.15020] Pre-training via Paraphrasing

Tags:

2020-06-30 A propos

Patrick von Platen sur Twitter : "Today, @huggingface is the start of our Reformer series..."

Tags:

2020-06-29 A propos

[2001.04451] Reformer: The Efficient Transformer

Tags:

2020-06-29 A propos

Representation Learning for Information Extraction from Form-like Documents – Google Research

Tags:

2020-06-15 A propos

Google AI Blog: Extracting Structured Data from Templatic Documents (2020)

Tags:

[About this paper](doc:2020/06/representation_learning_for_inf)

Templatic documents (eg. invoices): such documents do not contain “natural
language” but
instead resemble forms, with data often presented in tables

> an approach that **uses knowledge of target field types to identify
candidate fields**. These are then scored using **a neural network that
learns a dense representation of each candidate using the words in its
neighborhood**. Experiments on two corpora (invoices and receipts) show
that we’re able to generalize well to unseen layouts.
>
> An understanding of the **two-dimensional layout of text**
on the page is key to understanding such documents. On the other hand,
treating this purely as an image segmentation problem makes it difficult
to take advantage of the semantics of the text.
>
> Our approach to this problem allows developers to train and deploy an
extraction system for a given domain (like invoices) using **two inputs — a
target schema (i.e., a list of fields to extract and their corresponding
types) and a small collection of documents labeled with the ground truth
for use as a training set**

- The input document is first run through an [OCR service](doc:2020/06/detecter_le_texte_dans_les_fich).
- a candidate generator identifies spans of text in the OCR output that might correspond to
an instance of a given field (uses pre-existing
libraries associated with each field type)
- Each candidate is then scored using a neural
network (that is trained as a binary classifier)

2020-06-15 A propos

IBM Research addressing Enterprise NLP challenges in 2020

Tags:

2020-06-12 A propos

facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.

Tags:

2020-06-09 A propos

[1804.03235] Large scale distributed neural network training through online distillation

Tags:

2020-06-06 A propos

On word embeddings

Tags:

2020-06-05 A propos

[1511.03643] Unifying distillation and privileged information

Tags:

2020-05-31 A propos

Label unstructured data using Enterprise Knowledge Graphs 2

Tags:

2020-05-22 A propos

[1909.04164] Knowledge Enhanced Contextual Word Representations

Tags:

2020-05-13 A propos

[1912.08422] Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Tags:

2020-05-12 A propos

[2003.08505] A Metric Learning Reality Check

Tags:

2020-05-10 A propos

Thomas Kipf's PhD thesis: "Deep Learning with Graph-Structured Representations"

Tags:

2020-05-05 A propos

Disambiguating KBpedia Knowledge Graph Concepts

Tags:

2020-05-03 A propos

Cognonto - Data. Structure. Meaning.

Tags:

KBPedia

2020-05-03 A propos

[1911.03814] Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Tags:

2020-05-02 A propos

Sebastian Riedel sur Twitter : Happy to introduce BLINK, the @facebookai open-source entity linker!...

Tags:

2020-05-02 A propos

Should you use FastAI? - deeplearningbrasilia - Medium

Tags:

fast.ai

2020-04-27 A propos

[2004.06842] Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

Tags:

2020-04-17 A propos

RDFLib/rdflib: a Python library for working with RDF

Tags:

2020-04-09 A propos

BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? | SAIL Blog

Tags:

2020-03-28 A propos

[1909.03193] KG-BERT: BERT for Knowledge Graph Completion

Tags:

2020-03-22 A propos

[1911.02168] CoKE: Contextualized Knowledge Graph Embedding

Tags:

2020-03-22 A propos

Mapper Annotated Text Plugin | Elastic

Tags:

ElasticSearch: annotated text field

2020-03-14 A propos

Martynas Jusevicius sur Twitter : "Is there a solution for entity recognition that would use a local #KnowledgeGraph to look for matches? Ideally any SPARQL datasource..."

Tags:

2020-03-13 A propos

Adrian Gschwend sur Twitter : "getting started with RDF and JavaScript!..."

Tags:

Javascript RDF

2020-03-12 A propos

[1909.07606] K-BERT: Enabling Language Representation with Knowledge Graph

Tags:

2020-03-08 A propos

One-track minds: Using AI for music source separation

Tags:

2020-03-08 A propos

CS294-158-SP20 Deep Unsupervised Learning Spring 2020

Tags:

2020-03-08 A propos

[2003.02320] Knowledge Graphs

Tags:

2020-03-07 A propos

Unsupervised NER using BERT - Hands-on NLP model review - Quora

Tags:

2020-03-06 A propos

[2002.12327] A Primer in BERTology: What we know about how BERT works

Tags:

2020-02-28 A propos

[2002.11402] Detecting Potential Topics In News Using BERT, CRF and Wikipedia

Tags:

2020-02-27 A propos

fastai/fastpages: An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Tags:

2020-02-25 A propos

NLP Newsletter: The Annotated GPT-2, Understanding self-distillation, Haiku, GANILLA, Sparkwiki, Ethics in NLP, Torchmeta,…

Tags:

2020-02-24 A propos

FastHugs | ntentional

Tags:

2020-02-19 A propos

Machine Learning Crash Course | Google Developers

Tags:

2020-02-18 A propos

Machine Learning at the VU University Amsterdam

Tags:

2020-02-18 A propos

Distilling BERT models with spaCy - Towards Data Science (2019)

Tags:

2020-02-15 A propos

Hugging Face sur Twitter : DistilBERT-cased for Question Answering w/ just 3 lines of javascript

Tags:

2020-02-14 A propos

MinHash token filter | Elasticsearch Reference

Tags:

2020-02-14 A propos

ElastiK Nearest Neighbors

Tags:

2020-02-13 A propos

[2002.04688] fastai: A Layered API for Deep Learning

Tags:

2020-02-13 A propos

Jeremy Howard sur Twitter : "The fastai paper (with @GuggerSylvain) covers v2..."

Tags:

2020-02-13 A propos

Online speech recognition with wav2letter@anywhere

Tags:

2020-02-12 A propos

How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Tags:

> It has recently been observed that neural language
models trained on unstructured text can
implicitly store and retrieve knowledge using
natural language queries.

indeed, cf. Facebook's paper [Language Models as Knowledge Bases?](/doc/2019/09/_1909_01066_language_models_as)

> In this short paper,
we measure the practical utility of this
approach by fine-tuning pre-trained models to
answer questions without access to any external
context or knowledge.

> we show that a large language
model pre-trained on unstructured text can
attain competitive results on open-domain question
answering benchmarks without any access
to external knowledge

BUT:

>1. state-of-the-art results only with the largest model
which had 11 billion parameters.
>1. “open-book” models
typically provide some indication of what information
they accessed when answering a question
that provides a useful form of interpretability.
In contrast, our model distributes knowledge
in its parameters in an inexplicable way, which
precludes this form of interpretability.
>1. **the maximum-likelihood objective provides no guarantees as to whether
a model will learn a fact or not.**

So, what's the point? To be compared with this [IBM's paper](/doc/2019/09/_1909_04120_span_selection_pre): "a new pre-training task inspired by reading comprehension and an effort to avoid encoding general knowledge in the transformer network itself"

2020-02-11 A propos

Adam Roberts sur Twitter : "New preprint: How Much Knowledge Can You Pack into the Parameters of a Language Model?..."

Tags:

2020-02-11 A propos

[1911.05507] Compressive Transformers for Long-Range Sequence Modelling

Tags:

2020-02-11 A propos

A new model and dataset for long-range memory | DeepMind

Tags:

2020-02-11 A propos

[2002.02925] BERT-of-Theseus: Compressing BERT by Progressive Module Replacing

Tags:

2020-02-10 A propos

Matching Resumes to Jobs via Deep Siamese Network | Companion Proceedings of the The Web Conference 2018

Tags:

2020-02-10 A propos

Canwen Xu sur Twitter : "WTF? We brutally dismember BERT and replace all his organs?"

Tags:

2020-02-10 A propos

[1703.07464] No Fuss Distance Metric Learning using Proxies

Tags:

> We address the problem of distance metric learning (DML), defined as learning a distance consistent with a notion of semantic similarity...
> Traditionnaly, supervision is expressed in the form of sets of points that follow
an ordinal relationship – an anchor point x is similar to
a set of positive points Y , and dissimilar to a set of negative
points Z, and a loss defined over these distances is minimized.
> Triplet-Based methods are challenging to optimize (a main issue is the need for finding informative triplets).
>
> We propose to **optimize the triplet loss on a different space of triplets, consisting of an anchor data point and similar and dissimilar proxy points which are learned as well**. These proxies approximate the original data points, so that a triplet loss over the proxies is a tight upper bound of the original loss.

Mentioned in this [blog post](/doc/2020/01/training_a_speaker_embedding_fr):

> "**Proxy based triplet learning**": instead of generating triplets, we learn an embedding for each class and use the learnt embedding as a proxy for triplets as part of the training. In other words, we can train end to end without the computationally expensive step of resampling triplets after each network update.

Near the conclusion:

> Our formulation of Proxy-NCA loss produces a loss very
similar to the standard cross-entropy loss used in classification.
However, we arrive at our formulation from a different
direction: we are not interested in the actual classifier and
indeed discard the proxies once the model has been trained.
Instead, the proxies are auxiliary variables, enabling more
effective optimization of the embedding model parameters.
**As such, our formulation not only enables us to surpass the
state of the art in zero-shot learning, but also offers an explanation
to the effectiveness of the standard trick of training
a classifier, and using its penultimate layer’s output as the
embedding.**

2020-02-09 A propos

[1503.03832] FaceNet: A Unified Embedding for Face Recognition and Clustering

Tags:

2020-01-25 A propos

Paris NLP Season 4 Meetup #3 – Paris NLP (2020)

Tags:

2020-01-23 A propos

Semantic Text Matching for Long-Form Documents (2019)

Tags:

2020-01-23 A propos

[2001.07685] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Tags:

2020-01-22 A propos

Best Practices for ML Engineering | Google Developers

Tags:

2020-01-21 A propos

Your own blog with GitHub Pages and fast_template (4 part tutorial) · fast.ai

Tags:

2020-01-21 A propos

Tech @ Cliqz

Tags:

Cliqz

2020-01-20 A propos

Syncing your blog with your PC, and using your word processor · fast.ai

Tags:

2020-01-19 A propos

Your own hosted blog, the easy, free, open way· fast.ai

Tags:

2020-01-16 A propos

fastai/nbdev: Create delightful python projects using Jupyter Notebooks

Tags:

2020-01-12 A propos

Building a Search Engine with BERT and TensorFlow - Towards Data Science

Tags:

2020-01-12 A propos

Building a real-time embeddings similarity matching system | Solutions | Google Cloud

Tags:

2020-01-11 A propos

Tags:

2020-01-10 A propos

Elasticsearch meets BERT: Building Search Engine with Elasticsearch and BERT

Tags:

2020-01-10 A propos

NLP's Clever Hans Moment has Arrived

Tags:

2020-01-10 A propos

[2003.05473] Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking (CoNNL 2019)

Tags:

Training BERT-base-uncased on English Wikipedia and then fine-tuned and evaluating it
on an entity linking (EL) benchmark (EL implemented as a token classification over the entity vocabulary)

> BERT+Entity is a straightforward extension on top
of BERT, i.e. we initialize BERT with the publicly
available weights from the BERT-base-uncased
model and add an output classification layer on
top of the architecture. Given a contextualized token,
the classifier computes the probability of an
entity link for each entry in the entity vocabulary.

Can BERT’s architecture learn all entity
linking steps jointly? To answer:

> an extreme
simplification of the **entity linking setup that
works surprisingly well**: simply cast it as **a
per token classification over the entire entity
vocabulary** (over 700K classes in our case).

> the model
is the first that performs entity linking without any
pipeline or any heuristics, compared to all prior
approaches. We found that with our approach we
can learn additional entity knowledge in BERT that
helps in entity linking. **However, we also found
that almost none of the downstream tasks really
required entity knowledge**.

### Related work

- > [Durrett and Klein (2014)](/doc/2020/01/a_joint_model_for_entity_analys) were the first to propose
jointly modelling Mention detection, Candidate generation and Entity disambiguation in a graphical
model and could show that each of those steps are
interdependent and benefit from a joint objective

This paper uses neural techniques instead of CRF.

- > [Yamada](/showprop.do?pptyuri=http%3A%2F%2Fwww.semanlink.net%2F2001%2F00%2Fsemanlink-schema%23arxiv_author&pptyval=Ikuya%2BYamada) (2016, 2017) was the first to
investigate neural text representations and entity
linking, but their approach is limited to ED.

cf. [#Wikipedia2Vec](tag:wikipedia2vec). Compare with [newer work by Yamada](doc:2020/09/1909_01259_neural_attentive_b)

2020-01-09 A propos

Named Entity Recognition with Bert – Depends on the definition

Tags:

2020-01-09 A propos

Joint Intent Classification and Slot Filling with Transformers (Jupyter Notebook Viewer)

Tags:

2020-01-09 A propos

[1902.10909] BERT for Joint Intent Classification and Slot Filling

Tags:

2020-01-09 A propos

Natural Language Understanding with Sequence to Sequence Models

Tags:

2020-01-09 A propos

Advancing Natural Language Processing (NLP) for Enterprise Domains

Tags:

2020-01-07 A propos

Richer Sentence Embeddings using Sentence-BERT — Part I

Tags:

Sentence-BERT

2020-01-06 A propos

Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019

Tags:

2020-01-05 A propos

CS224U: Natural Language Understanding

Tags:

2020-01-05 A propos

[1911.00172] Generalization through Memorization: Nearest Neighbor Language Models

Tags:

2019-12-20 A propos

Détection d'intention: application industrielle d'un projet de recherche

Tags:

2019-12-14 A propos

Introducing the Annotated Text Plugin for Elasticsearch: Search for Things (not Strings) | Elastic Blog

Tags:

ElasticSearch: annotated text field

2019-12-14 A propos

Named Entity Recognition with Pytorch Transformers – Pierre-Yves Vandenbussche

Tags:

2019-12-11 A propos - Copie locale

mozilla/DeepSpeech: A TensorFlow implementation of Baidu's DeepSpeech architecture

Tags:

2019-12-10 A propos

[1912.01412] Deep Learning for Symbolic Mathematics

Tags:

2019-12-09 A propos

NLP at Scale for Maintenance and Supply Chain Management

Tags:

2019-12-07 A propos

[1905.11852] EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction

Tags:

2019-12-05 A propos

Fastai with Transformers (BERT, RoBERTa, XLNet, XLM, DistilBERT)

Tags:

2019-11-30 A propos

Bayesian deep learning with Fastai : how not to be uncertain about your uncertainty !

Tags:

2019-11-29 A propos

Elasticsearch RSS feed indexer with Spacy entity extraction

Tags:

2019-11-24 A propos

Meetup Paris #40 : Beyond plain text: elasticsearch’s annotated text field type (en anglais) - YouTube

Tags:

2019-11-24 A propos

Hello World for JavaScript with npm modules in the browser

Tags:

2019-11-19 A propos

Artificial Human Intelligence: The Programmer’s Apprentice - Tom Dean and Rishabh Singh - Google Research

Tags:

2019-11-16 A propos

[1807.00082] Amanuensis: The Programmer's Apprentice

Tags:

**The use of natural language to facilitate communication
between the expert programmer and apprentice AI system.**

> an overview of the material covered in a course taught at Stanford in the spring quarter of 2018. The course draws upon **insight from cognitive and systems neuroscience to implement hybrid connectionist and symbolic reasoning systems** that leverage and extend the state of the art in machine learning **by integrating human and machine intelligence**. As a concrete example we focus on digital assistants that learn from continuous dialog with an expert software engineer while providing initial value as powerful analytical, computational and mathematical savants.

> [#Dehaene](/tag/stanislas_dehaene)'s work extends the [#Global Workspace Theory](/tag/global_workspace_theory) of Bernard Baars. Dehaene’s version of the theory combined with Yoshua Bengio’s concept of a [#consciousness prior](/tag/consciousness_prior.html) and deep reinforcement learning suggest a model for constructing and maintaining the cognitive states that arise and persist during complex problem solving.

2019-11-12 A propos

Building a Full-Text Search App Using Docker and Elasticsearch

Tags:

2019-11-10 A propos

CamemBERT

Tags:

CamemBERT

2019-11-10 A propos

[1911.01464] Emerging Cross-lingual Structure in Pretrained Language Models

Tags:

2019-11-06 A propos

Project Debater - IBM Research AI

Tags:

2019-11-06 A propos

Finding Data Block Nirvana (a journey through the fastai data block API) — Part 2

Tags:

2019-11-01 A propos

BERT is now part of Google Search, so let’s understand how it reasons

Tags:

2019-10-31 A propos

watson-developer-cloud/speech-javascript-sdk: IBM Watson Speech Services for Web Browsers

Tags:

Watson Speech-to-Text

2019-10-30 A propos

Getting robots to listen: Using Watson's Speech to Text service - Watson

Tags:

2019-10-30 A propos

IBM Cloud Speech to Text : Références de recherche

Tags:

Watson Speech-to-Text

2019-10-29 A propos

Document analysis with machine learning

Tags:

2019-10-28 A propos

Speech to Text - IBM Cloud API Docs

Tags:

Watson Speech-to-Text

2019-10-28 A propos

A Brief History of Knowledge Graph's Main Ideas: A tutorial, Claudio Gutierrez and Juan F. Sequeda

Tags:

2019-10-27 A propos

A Postman Collection for Training IBM Watson Speech to Text

Tags:

2019-10-24 A propos

Improving long-form question answering by compressing search results

Tags:

2019-10-24 A propos

Efficient multi-lingual language model fine-tuning · fast.ai NLP

Tags:

2019-10-22 A propos

Restoring ancient text using deep learning: a case study on Greek epigraphy | DeepMind

Tags:

2019-10-18 A propos

[1802.07044] The Description Length of Deep Learning Models

Tags:

2019-10-11 A propos

[1910.03524] Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs

Tags:

2019-10-09 A propos

Language and Perception in Deep Learning - Florian Strub DeepMind, Univ. Lille, Inria

Tags:

2019-10-07 A propos

Who says using RDF is hard?

Tags:

Javascript RDF

2019-10-07 A propos

Meet ALBERT: a new ‘Lite BERT’ from Google & Toyota with State of the Art NLP performance and 18x fewer parameters.

Tags:

2019-10-01 A propos

rubensworks/rdf-dereference.js: Dereference any URL for its RDF contents

Tags:

Javascript RDF

2019-09-30 A propos

[1909.04120] Span Selection Pre-training for Question Answering

Tags:

> a **new pre-training task inspired by reading
comprehension** and an **effort to avoid encoding general knowledge in the transformer network itself**

Current transformer architectures store general knowledge -> large models, long pre-training time. Better to offload the requirement of general knowledge to a sparsely activated network.

"Span selection" as an additional auxiliary task: the query is a sentence drawn from a corpus
with a term replaced with a special token: [BLANK]. The term replaced by the blank is the answer term. The passage is
relevant as determined by a BM25 search, and answer-bearing (containing the answer
term). Unlike BERT’s cloze task, where the answer must be drawn from the model itself, the answer is found in a passage
using language understanding.

> **We hope to progress to a model of general purpose language modeling that uses an indexed long
term memory to retrieve world knowledge, rather than holding it in the densely activated transformer encoder layers.**

2019-09-18 A propos

Evolution of Representations in the Transformer (2019)

Tags:

2019-09-16 A propos

[1909.01066] Language Models as Knowledge Bases?

Tags:

2019-09-05 A propos

Introducing Neural Structured Learning in TensorFlow

Tags:

2019-09-03 A propos

Product-Key Memory (PKM) Minimalist implementation of a Product-Key Memory layer

Tags:

2019-08-30 A propos

Smaller, faster, cheaper, lighter: Introducing DistilBERT, a distilled version of BERT

Tags:

2019-08-28 A propos

[1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Tags:

2019-08-28 A propos

Open-sourcing hyperparameter autotuning for fastText

Tags:

FastText

2019-08-27 A propos

[1808.02590] A Tutorial on Network Embeddings

Tags:

2019-08-25 A propos

Watch Your Step: Learning Node Embeddings via Graph Attention

Tags:

2019-08-23 A propos

Rick Wierenga's blog posts about fast.ai

Tags:

Fast.ai course

2019-08-12 A propos

[1905.07129] ERNIE: Enhanced Language Representation with Informative Entities

Tags:

2019-08-05 A propos

Lesson 3 - Self Driving Cars

Tags:

2019-08-05 A propos

Chip Huyen sur Twitter : "This thread is a combination of 10 free online courses on machine learning that I find the most helpful"

Tags:

2019-08-04 A propos

What is XLNet and why it outperforms BERT - Towards Data Science

Tags:

2019-08-02 A propos

A2N: Attending to Neighbors for Knowledge Graph Inference - ACL 2019

Tags:

2019-07-31 A propos

BERT's success in some benchmarks tests may be simply due to the exploitation of spurious statistical cues in the dataset. Without them it is no better then random. : MachineLearning

Tags:

2019-07-24 A propos

[1907.07355] Probing Neural Network Comprehension of Natural Language Arguments

Tags:

2019-07-24 A propos

[1907.05242] Large Memory Layers with Product Keys

Tags:

> **a structured memory which can be easily integrated into a neural network.** The memory is very large by design and therefore significantly increases the capacity of the architecture, by up to a billion parameters with a negligible computational overhead. Its design and access pattern is based on **product keys**, which enable fast and exact nearest neighbor search. The ability to increase the number of parameters while keeping the same computational budget lets the overall system strike a better trade-off between prediction accuracy and computation efficiency both at training and test time.

> a key-value memory layer that can increase model capacity for a negligible computational cost. A 12-layer transformer with a memory outperforms a 24-layer transformer, and is 2x faster!

[Implementation](/doc/2019/08/product_key_memory_pkm_minima)

TODO: compare with [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_)

2019-07-13 A propos

Nandana Mihindukulasooriya sur Twitter : "I wonder if there is a service for disambiguation and entity linking for @wikidata where I can pass a text and get Wikidata entities mentioned in it!

Tags:

2019-07-13 A propos

course-nlp/2-svd-nmf-topic-modeling.ipynb at master · fastai/course-nlp

Tags:

2019-07-11 A propos

Blogging with jupyter notebooks and jekyll - Claire Duvallet

Tags:

2019-07-11 A propos

new fast.ai course: A Code-First Introduction to Natural Language Processing · fast.ai

Tags:

2019-07-09 A propos

A Common Sense View of Knowledge Graphs | AI3:::Adaptive Information

Tags:

2019-07-03 A propos

Google AI Blog: Harnessing Organizational Knowledge for Machine Learning (2019)

Tags:

2019-06-28 A propos

[1905.10070] Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification

Tags:

2019-06-22 A propos

[1906.04341] What Does BERT Look At? An Analysis of BERT's Attention

Tags:

2019-06-21 A propos

NLP: Contextualized word embeddings from BERT – Towards Data Science

Tags:

BERT

2019-06-12 A propos

Hamiltonian Neural Networks

Tags:

2019-06-11 A propos

Voice Dictation - Online Speech Recognition using chrome

Tags:

2019-06-11 A propos

Speech to Text Demo - Watson

Tags:

Watson Speech-to-Text

2019-06-11 A propos

[1906.02715] Visualizing and Measuring the Geometry of BERT

Tags:

2019-06-07 A propos

"I made a bet that a Naive Bayes classifier would work as well on humor recognition as a neural net with fine-tuned Bert embeddings. I won"

Tags:

2019-06-06 A propos

Virtual Knowledge Graphs: An Overview of Systems and Use Cases | MIT Press Journals (2019)

Tags:

2019-05-28 A propos

Knowledge Graph Technology and Applications 2019 - Simia

Tags:

2019-05-23 A propos

Introducing FastBert — A simple Deep Learning library for BERT Models

Tags:

2019-05-23 A propos

Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification (2017)

Tags:

2019-05-20 A propos

Robust Language Representation Learning via Multi-task Knowledge Distillation - Microsoft Research

Tags:

2019-05-19 A propos

[1905.05950] BERT Rediscovers the Classical NLP Pipeline

Tags:

2019-05-18 A propos

Supercharging Elasticsearch for extended Knowledge Graph use cases: Data science + business analytics training: Strata Data Conference

Tags:

2019-05-16 A propos

Advice for Better Blog Posts · fast.ai

Tags:

2019-05-14 A propos

PyTorch-BigGraph: Faster embeddings of large graphs - Facebook Code

Tags:

2019-05-12 A propos

Knowledge Graph Conference 2019, Day 1 - Simia

Tags:

2019-05-09 A propos

Introducing the Elastic Enterprise Search Beta: Search Everything, Anywhere | Elastic Blog

Tags:

ElasticSearch

2019-05-09 A propos

Radek Osmulski sur Twitter : "You would expect a difference in row access times depending on the type of a sparse matrix, but I didn't realize the difference would be so big!

Tags:

2019-05-05 A propos

OpenLink Structured Data Sniffer

Tags:

2019-05-04 A propos

Learning to Map Wikidata Entities To Predefined Topics

Tags:

2019-05-03 A propos

GCP and Fast Ai v1: A full setup that’ll work – mc.ai

Tags:

2019-05-03 A propos

International Workshop on Deep Learning for Graphs and Structured Data Embedding

Tags:

2019-04-30 A propos

open-knowledge-embeddings.pdf - (2019)

Tags:

2019-04-29 A propos

Federated KBs at AKBC2019

Tags:

2019-04-29 A propos

[1810.09164] Named Entity Disambiguation using Deep Learning on Graphs

Tags:

2019-04-26 A propos

Dandelion API - Semantic Text Analytics as a service

Tags:

2019-04-24 A propos

Reading local files in JavaScript - HTML5 Rocks

Tags:

2019-04-23 A propos

[1904.08398] DocBERT: BERT for Document Classification

Tags:

2019-04-18 A propos

Wikify!: linking documents to encyclopedic knowledge (2007)

Tags:

2019-04-16 A propos

Designing a Linked Data developer experience | Ruben Verborgh

Tags:

2019-04-12 A propos

2019 Knowledge Graph Conference - Knowledge Graphs for AI in the Enterprise

Tags:

Knowledge Graph Conference 2019

2019-04-11 A propos

A Neural QA Model for DBpedia (GSoC 2019)

Tags:

2019-03-26 A propos

[1803.02893] An efficient framework for learning sentence representations

Tags:

2019-03-20 A propos

Contrastive Unsupervised Learning of Semantic Representations: A Theoretical Framework – Off the convex path (2019-03)

Tags:

2019-03-20 A propos

huggingface/pytorch-pretrained-BERT: The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

Tags:

2019-03-15 A propos

Why you (yes, you) should blog – Rachel Thomas – Medium

Tags:

2019-03-14 A propos

François Chollet sur Twitter : a crash course on everything you need to know to use TensorFlow 2.0 + Keras

Tags:

2019-03-12 A propos

fast.ai Embracing Swift for Deep Learning · fast.ai

Tags:

2019-03-07 A propos

GitHub - solid/react-components at v1.4.0

Tags:

2019-03-02 A propos

Article recommendation with Personalized PageRank and Full Text Search

Tags:

2019-02-28 A propos

Measuring patent claim breadth using Google Patents Public Datasets | Google Cloud Blog

Tags:

2019-02-21 A propos

Automated patent landscaping (google/patents-public-data)

Tags:

2019-02-20 A propos

Programmatic Patent Searches Using Google’s BigQuery & Public Patent Data

Tags:

2019-02-19 A propos

Plotting Similar Patents | Kaggle

Tags:

2019-02-19 A propos

[1901.11504] Multi-Task Deep Neural Networks for Natural Language Understanding

Tags:

2019-02-17 A propos

Using BERT for state-of-the-art pre-training for natural language processing

Tags:

2019-02-14 A propos

Jacob Devlin talks about BERT at the Stanford NLP seminar

Tags:

2019-02-11 A propos

Google explores AI's mysterious polytope | ZDNet

Tags:

2019-02-09 A propos

Keywords2vec

Tags:

2019-02-09 A propos

What Is Google Patents Search?

Tags:

Google Patents

2019-02-09 A propos

Google Patents Public Datasets: connecting public, paid, and private patent data | Google Cloud Blog

Tags:

Google Patents

2019-02-09 A propos

Intelligence artificielle : DeepMind s’intéresse au jeu de cartes français Hanabi

Tags:

2019-02-07 A propos

BPEmb: Subword Embeddings

Tags:

2019-01-31 A propos

Cheatsheet · fastText

Tags:

2019-01-29 A propos

Using FastText models (not vectors) for robust embeddings | Kaggle

Tags:

2019-01-29 A propos

Querying machine learning distributional semantics with SPARQL - bobdc.blog

Tags:

2019-01-29 A propos

Run NLP Experiments using the Feedly API.ipynb - Colaboratory

Tags:

2019-01-29 A propos

[1601.01343] Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

Tags:

2019-01-27 A propos

The Hidden Automation Agenda of the Davos Elite - The New York Times

Tags:

2019-01-27 A propos

Romain Vial (Hyperlex) at Paris NLP meetup, slides

Tags:

2019-01-24 A propos

LASER natural language processing toolkit - Facebook Code

Tags:

NLP@Facebook

2019-01-23 A propos

Training Cutting-Edge Neural Networks with Tensor2Tensor and 10 lines of code

Tags:

Tensor2Tensor

2019-01-21 A propos

Finding Data Block Nirvana (a journey through the fastai data block API)

Tags:

fast.ai

2019-01-15 A propos

Another data science student's blog (Sylvain Gugger)

Tags:

2019-01-03 A propos

Wikipedia2Vec

Tags:

2018-12-23 A propos

Open-sourcing PyText for faster NLP development

Tags:

2018-12-15 A propos

DeepLearning Images Revision M13/14. PyTorch 1.0. Git Integration. Smaller Boot Time.

Tags:

2018-12-12 A propos

Durk Kingma sur Twitter : about likelihood-based generative models

Tags:

2018-12-07 A propos

The Kanerva Machine: A Generative Distributed Memory | OpenReview (2018)

Tags:

2018-12-06 A propos

GCP | fast.ai course v3

Tags:

2018-12-05 A propos

The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar

Tags:

2018-12-03 A propos

Fast.ai with Google Colab

Tags:

2018-12-02 A propos

Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python - Analytics Vidhya

Tags:

2018-12-01 A propos

The Bitcoin network at risk – François Chollet

Tags:

2018-11-26 A propos

Google AI Blog: Google at EMNLP 2018

Tags:

2018-11-25 A propos

[1811.05370] Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents

Tags:

2018-11-20 A propos

Word Mover's Embedding: From Word2Vec to Document Embedding (2018)

Tags:

2018-11-10 A propos

Introduction to Amazon SageMaker Object2Vec | AWS Machine Learning Blog

Tags:

2018-11-10 A propos

Lil'Log

Tags:

2018-11-06 A propos

Google AI Blog: Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing

Tags:

BERT

2018-11-05 A propos

GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT

Tags:

2018-11-05 A propos

Self-Governing Neural Networks for On-Device Short Text Classification - Sujith Ravi | Zornitsa Kozareva (2018)

Tags:

2018-11-02 A propos

Facebook Research at EMNLP – Facebook Research

Tags:

2018-11-01 A propos

Time-Contrastive Networks: Self-Supervised Learning from Video (2017)

Tags:

Self-supervised approach for learning representations and robotic behaviors entirely from unlabeled videos recorded from multiple viewpoints, and study how this representation can be used in two robotic imitation settings: imitating object interactions from videos of humans, and imitating human poses.

> We train our representations using a metric learning loss, where multiple simultaneous viewpoints of the same observation are attracted in the embedding space, while being repelled from temporal neighbors which are often visually similar but functionally different. In other words, the model simultaneously learns to recognize what is common between different-looking images, and what is different between similar-looking images.
> This signal causes our model to discover attributes that do not change across viewpoint, but do change across time, while ignoring nuisance variables such as occlusions, motion blur, lighting and background. We demonstrate that this representation can be used by a robot to directly mimic human poses without an explicit correspondence, and that it can be used as a reward function within a reinforcement learning algorithm.

2018-10-27 A propos

TensorFlow: how to load and save models at every epoch so you never lose time or data.

Tags:

2018-10-26 A propos

Teaching Machines to Understand Natural Language (2018)

Tags:

2018-10-26 A propos

[1503.08895] End-To-End Memory Networks

Tags:

2018-10-23 A propos

[1703.03129] Learning to Remember Rare Events

Tags:

2018-10-23 A propos

Time, Context and Causality in Recommender Systems

Tags:

2018-10-18 A propos

[1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Tags:

2018-10-12 A propos

TensorFlow.js

Tags:

2018-10-10 A propos

Deploy Your First Deep Learning Model On Kubernetes With Python, Keras, Flask, and Docker

Tags:

2018-10-07 A propos

Training on TPU

Tags:

2018-10-05 A propos

Unsupervised Machine Translation. G. Lample (slides)

Tags:

2018-09-29 A propos

Paris NLP Season 3 Meetup #1 | Meetup

Tags:

2018-09-27 A propos

Embeddings@Twitter

Tags:

2018-09-21 A propos

[Learning Note] StarSpace For Multi-label Text Classification

Tags:

2018-09-11 A propos

Distill — Latest articles about machine learning

Tags:

2018-09-09 A propos

Off the convex path

Tags:

2018-09-09 A propos

Depends on the definition - it's about machine learning, data science and more

Tags:

2018-09-09 A propos

For what tasks is Pytorch preferable to Tensorflow? - Quora

Tags:

2018-08-28 A propos

Simple guide to Neural Arithmetic Logic Units (NALU): Explanation, Intuition and Code

Tags:

AI@Google

2018-08-21 A propos

Quantum Computing - IBM Q

Tags:

2018-08-21 A propos

Google AI Blog: Transformer: A Novel Neural Network Architecture for Language Understanding

Tags:

2018-08-17 A propos

A Framework for Semi supervised Concept Extraction from MOOC content (2017)

Tags:

2018-08-12 A propos

Using Machine Learning to Support Continuous Ontology Development (2010)

Tags:

2018-08-07 A propos

Jersey vs. RESTEasy: A JAX-RS Implementation Comparison - Genuitec

Tags:

2018-08-05 A propos

HyperE: Hyperbolic Embeddings for Entities

Tags:

2018-07-27 A propos

Practical guide to text classification | Google Developers

Tags:

2018-07-23 A propos

[1807.03748] Representation Learning with Contrastive Predictive Coding

Tags:

2018-07-21 A propos

Studying the Spatio-Temporal Dynamics of Small-Scale Events in Twitter

Tags:

2018-07-12 A propos

What is Candidate Sampling

Tags:

2018-07-07 A propos

How sampling works in Word2vec? Can someone please make me understand NCE and negative sampling? - Cross Validated

Tags:

2018-07-07 A propos

Markup for Autos - schema.org

Tags:

2018-06-19 A propos

Extending NLP - Stardog

Tags:

Stardog

2018-06-14 A propos

[1806.01261] Relational inductive biases, deep learning, and graph networks

Tags:

2018-06-13 A propos

D2KLab/entity2rec: entity2rec generates item recommendation from knowledge graphs

Tags:

2018-06-04 A propos

How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

Tags:

2018-06-02 A propos

Cloud TPU – Accélérateurs de ML pour TensorFlow | Google Cloud

Tags:

2018-05-31 A propos

Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

Tags:

Google Colab

2018-05-31 A propos

Colaboratory

Tags:

Google Colab

2018-05-31 A propos

Stardog: The Enterprise Knowledge Graph Platform

Tags:

Enterprise Knowledge Graph

2018-05-31 A propos

[1803.11175] Universal Sentence Encoder

Tags:

2018-05-29 A propos

NLP News | Revue

Tags:

2018-05-29 A propos

Module google/universal-sentence-encoder | TensorFlow

Tags:

2018-05-23 A propos

Testing Tensorflow code

Tags:

2018-05-21 A propos

Règles du machine learning : | Google Developers

Tags:

2018-05-21 A propos

Tutorial on Poincaré Embeddings (Jupyter Notebook )

Tags:

2018-05-20 A propos

Implementing Poincaré Embeddings | RARE Technologies

Tags:

2018-05-20 A propos

[1709.03856] StarSpace: Embed All The Things!

Tags:

2018-05-13 A propos

Under the hood: Multilingual embeddings | Engineering Blog | Facebook Code

Tags:

2018-05-11 A propos

GitHub - Babylonpartners/fastText_multilingual: Multilingual word vectors

Tags:

2018-05-11 A propos

L’inventeur du Web exhorte à réguler l’intelligence artificielle

Tags:

2018-04-28 A propos

How to use Dataset in TensorFlow – Towards Data Science

Tags:

2018-04-21 A propos

Open Semantic Search: Your own search engine for documents, images, tables, files, intranet & news

Tags:

2018-04-18 A propos

Text Classification with TensorFlow Estimators

Tags:

2018-04-17 A propos

[1804.04526] EventKG: A Multilingual Event-Centric Temporal Knowledge Graph

Tags:

2018-04-15 A propos

Research Blog: Introducing Semantic Experiences with Talk to Books and Semantris

Tags:

2018-04-14 A propos

Tags:

2018-04-03 A propos

GitHub - ijkilchenko/Fuzbal: Chrome extension: Gives Ctrl+F like find results which include non-exact (fuzzy) matches using string edit-distance and GloVe/Word2Vec. Also searches by regular expressions.

Tags:

2018-03-29 A propos

Learning to write programs that generate images | DeepMind

Tags:

2018-03-28 A propos

Semantic hashing using tags and topic modeling (2013)

Tags:

2018-03-22 A propos

[1803.05651] Word2Bits - Quantized Word Vectors

Tags:

2018-03-20 A propos

ML-knn: A lazy learning approach to multi-label learning (2007)

Tags:

a lazy learning approach derived from the traditional [k-nearest neighbors algorithm](tag:k_nearest_neighbors_algorithm)

> for each unseen instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, [Maximum a posteriori (MAP)](tag:maximum_a_posteriori_estimation) principle is utilized to determine the label set for the unseen instance.

Implemented in [scikit-multilearn](http://scikit.ml/api/skmultilearn.adapt.mlknn.html), in [java](https://github.com/lefman/mulan-extended/blob/master/mulan/src/mulan/classifier/lazy/MLkNN.java)

> the first lazy approach proposed specifically for multi-label classification. This is also a binary relevance approach which considers each label independently as a binary classification problem. Instead of a standard k-NN method, however, MLkNN uses the maximum a-posteriori (MAP) (Kelleher et al., 2015) approach combined with k-NN. [src](https://pdfs.semanticscholar.org/af9b/33da37d290c063cd826ab5923d96892a9767.pdf)

2018-03-18 A propos

Google's Machine Learning Crash Course | Google Developers

Tags:

2018-03-12 A propos

GitHub - anvaka/word2vec-graph: Exploring word2vec embeddings as a graph of nearest neighbors

Tags:

2018-03-12 A propos

REST is the new SOAP – freeCodeCamp

Tags:

2018-03-10 A propos

[1603.01360] Neural Architectures for Named Entity Recognition

Tags:

2018-03-05 A propos

Notes from Coursera Deep Learning courses by Andrew Ng

Tags:

2018-03-05 A propos

Codes of Interest: Using Bottleneck Features for Multi-Class Classification in Keras and TensorFlow

Tags:

2018-03-04 A propos

GitHub - tensorflow/models: Models and examples built with TensorFlow

Tags:

2018-02-28 A propos

A gentle introduction to Doc2Vec – ScaleAbout – Medium

Tags:

Doc2Vec

2018-02-14 A propos

Explanation for Doc2Vec - Quora

Tags:

Doc2Vec

2018-02-14 A propos

[1710.04099] Wembedder: Wikidata entity embedding web service

Tags:

2018-02-13 A propos

Introduction to Learning to Trade with Reinforcement Learning – WildML

Tags:

2018-02-11 A propos

Vocabulaires dans le web de données : quels outils open-source ? - Sparna Blog

Tags:

2018-01-23 A propos

Combining semantics and deep learning for intelligent information services

Tags:

2018-01-03 A propos

Global RDF Vector Space Embeddings

Tags:

RDF embeddings

2018-01-03 A propos

RDF2Vec: RDF Graph Embeddings for Data Mining - (2016)

Tags:

RDF2VEC

2018-01-03 A propos

RDF2Vec: RDF Graph Embeddings for Data Mining

Tags:

RDF2VEC

2018-01-03 A propos

Learning Deep Structured Semantic Models for Web Search using Clickthrough Data - Microsoft Research (2013)

Tags:

2017-12-30 A propos

DSSM ("Deep Semantic Similarity Model") - Microsoft Research

Tags:

DSSM (Deep Semantic Similarity Model)

2017-12-30 A propos

[1712.09405] Advances in Pre-Training Distributed Word Representations

Tags:

2017-12-29 A propos

gensim/WMD_tutorial.ipynb

Tags:

2017-12-23 A propos

facebookresearch/MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings

Tags:

2017-12-22 A propos

[1705.08039] Poincaré Embeddings for Learning Hierarchical Representations

Tags:

2017-12-16 A propos

Machine Learning for Systems and Systems for Machine Learning (NIPS 2017)

Tags:

2017-12-12 A propos

[1712.01208] The Case for Learned Index Structures

Tags:

2017-12-11 A propos

(fastText) Euclidean distance instead of cosine-similarity?

Tags:

2017-12-07 A propos

fast.ai · Making neural nets uncool again

Tags:

fast.ai

2017-11-28 A propos

How can we get the vector of a paragraph? · Issue #26 · facebookresearch/fastText

Tags:

2017-11-25 A propos

How to use pre-trained word vectors from Facebook’s fastText

Tags:

2017-11-25 A propos

Embeddings methods for NLP (2014) (tutorial - Jason Weston - Facebook Research)

Tags:

2017-11-12 A propos

[1706.00957] Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines

Tags:

2017-11-11 A propos

Implementing a CNN for Text Classification in TensorFlow – WildML

Tags:

2017-11-06 A propos

Spell Checker using Word2vec | Kaggle

Tags:

2017-11-03 A propos

wikidata-taxonomy

Tags:

2017-10-29 A propos

maxlath/wikidata-sdk: A javascript tool-suite to query Wikidata and simplify its results

Tags:

2017-10-28 A propos

LSTM with word2vec embeddings | Kaggle

Tags:

2017-10-25 A propos

Using Gensim Word2Vec Embeddings in Keras | Ben Bolte's Blog

Tags:

2017-10-23 A propos

Recurrent neural networks and LSTM tutorial in Python and TensorFlow - Adventures in Machine Learning

Tags:

2017-10-23 A propos

A Word2Vec Keras tutorial

Tags:

2017-10-23 A propos

Installing TensorFlow on Mac OS X | TensorFlow

Tags:

TensorFlow

2017-10-23 A propos

#PageRank-based #Wikidata autocomplete powered by #Apache #Solr

Tags:

2017-10-21 A propos

Open Knowledge Network

Tags:

2017-10-21 A propos

Redirects & SEO - The Complete Guide

Tags:

2017-10-19 A propos

301 Redirects Rules Change: What You Need to Know for SEO - Moz

Tags:

2017-10-19 A propos

AlphaGo Zero: Learning from scratch | DeepMind

Tags:

2017-10-18 A propos

Intelligence artificielle : toujours plus puissant, AlphaGo apprend désormais sans données humaines

Tags:

Alphago

2017-10-18 A propos

Tensorflow sucks

Tags:

2017-10-16 A propos

[1710.04087] Word Translation Without Parallel Data

Tags:

2017-10-14 A propos

Semantic Web Company

Tags:

2017-10-08 A propos

Watson : l’Intelligence artificielle en ses limites | InternetActu

Tags:

2017-10-07 A propos

facebookresearch/fairseq-py: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Tags:

2017-10-02 A propos

Distributed Word Representations for Information Retrieval

Tags:

2017-10-01 A propos

category:structured-data jsonld (in Webmaster Central Help Forum) - Google Product Forums

Tags:

2017-09-26 A propos

Re: Google Structured Data Testing Tool fails on valid JSON-LD from Dan Brickley on 2016-04-07 (public-schemaorg@w3.org from April 2016)

Tags:

2017-09-26 A propos

TensorFlow Neural Machine Translation (seq2seq) Tutorial

Tags:

2017-09-18 A propos

Word2Vec Resources · Chris McCormick

Tags:

2017-09-12 A propos

Word2Vec Tutorial Part 2 - Negative Sampling · Chris McCormick

Tags:

2017-09-10 A propos

Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick

Tags:

2017-09-10 A propos

[1607.01759] Bag of Tricks for Efficient Text Classification

Tags:

2017-09-10 A propos

Translating Embeddings (TransE) – Pierre-Yves Vandenbussche

Tags:

2017-09-09 A propos

Research Blog: Transformer: A Novel Neural Network Architecture for Language Understanding

Tags:

2017-09-01 A propos

How does word2vec work? Can someone walk through a specific example? - Quora

Tags:

Word2vec

2017-08-28 A propos

Vector Representations of Words | TensorFlow

Tags:

2017-08-28 A propos

[1507.07998] Document Embedding with Paragraph Vectors

Tags:

2017-08-20 A propos

RDF-Ext v1 Release | bergis reptile zoo of software, hardware and ideas

Tags:

RDFJS

2017-08-09 A propos

How to spot first stories on Twitter using Storm | Michael Vogiatzis

Tags:

2017-07-26 A propos

An overview of word embeddings and their connection to distributional semantic models - AYLIEN (2016)

Tags:

2017-07-20 A propos

More Fun With Word Vectors - Bag of Words Meets Bags of Popcorn | Kaggle

Tags:

Word2vec: howto

2017-07-20 A propos

Can I use word2vec representation to train a weka classifier? - Quora

Tags:

Word2vec: howto

2017-07-20 A propos

Can I use word2vec to train a machine learning classifier? - Quora

Tags:

Word2vec: howto

2017-07-20 A propos

Some pre-trained word2vec models for French

Tags:

2017-07-20 A propos

Tags:

2017-07-19 A propos

Tags:

2017-07-19 A propos

Watson: Alchemy Language v1 API Explorer

Tags:

2017-07-18 A propos

Dealing with Human Language | Elasticsearch: The Definitive Guide [master]

Tags:

2017-07-18 A propos

IBM SPSS Text Analytics for Surveys

Tags:

IBM SPSS Text Analytics for Surveys

2017-07-13 A propos

[1405.4053] Distributed Representations of Sentences and Documents

Tags:

2017-07-10 A propos

Baidu’s self-driving tech plans revealed | Robohub

Tags:

2017-07-10 A propos

What happened to the Semantic Web?

Tags:

2017-07-05 A propos

Introducing DeepText: Facebook's text understanding engine | Engineering Blog | Facebook Code

Tags:

NLP@Facebook

2017-06-28 A propos

gensim/FastText_Tutorial.ipynb

Tags:

2017-06-28 A propos

facebookresearch/fastText: Library for fast text representation and classification.

Tags:

2017-06-28 A propos

When should we not use Elasticsearch? - Quora

Tags:

ElasticSearch

2017-06-18 A propos

html2text

Tags:

2017-06-13 A propos

An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec

Tags:

2017-06-09 A propos

word2vec-api

Tags:

2017-06-09 A propos

Survey results analysis - Analytics Exchange

Tags:

2017-06-08 A propos

Analyzing survey text: a brief overview

Tags:

IBM SPSS Text Analytics for Surveys

2017-06-08 A propos

Watson API Explorer

Tags:

2017-06-06 A propos

IBM Watson Developer Cloud

Tags:

IBM Watson

2017-06-06 A propos

gensim: models.word2vec – Deep learning with word2vec

Tags:

2017-06-01 A propos

Word2vec in gensim Tutorial | RaRe Technologies

Tags:

2017-06-01 A propos

alternatives to word2vec? - Quora

Tags:

2017-05-23 A propos

Improving Topic Models with Latent Feature Word Representations | Nguyen | Transactions of the Association for Computational Linguistics

Tags:

2017-05-20 A propos

Using Word2Vec for topic modeling - Stack Overflow

Tags:

2017-05-19 A propos

Text Classification With Word2Vec - DS lore (2016)

Tags:

2017-05-18 A propos

Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors (2014)

Tags:

2017-05-18 A propos

How is GloVe different from word2vec? - Quora

Tags:

2017-05-18 A propos

Use Elasticsearch in your Java applications

Tags:

2017-05-15 A propos

Spark Framework: A tiny Java web framework

Tags:

Spark (Java web framework)

2017-05-15 A propos

On APIs, JSON, Linked Data, attitude and opportunities | Linked Data Orchestration

Tags:

2017-05-15 A propos

JSON Hypertext Application Language

Tags:

2017-05-15 A propos

A plugin for language detection in Elasticsearch using Nakatani Shuyo's language detector

Tags:

ElasticSearch

2017-04-28 A propos

More Like This Query | Elasticsearch Reference

Tags:

ElasticSearch

2017-04-28 A propos

Semantic search with NLP and elasticsearch - Stack Overflow

Tags:

2017-04-28 A propos

Locality-sensitive hashing - Elasticsearch - Stack Overflow

Tags:

2017-04-27 A propos

Uncoiling the Data in DNA: Elasticsearch as a BioInformatics Research Tool | Elastic

Tags:

2017-04-27 A propos

rest - HTTP GET with request body - Stack Overflow

Tags:

2017-04-27 A propos

Loading JSON-LD into ES - Elasticsearch - Discuss the Elastic Stack

Tags:

2017-04-21 A propos

Burger King’s new ad forces Google Home to advertise the Whopper - The Verge

Tags:

2017-04-13 A propos

EC-WEB 2014 "Automotive ranges as e-commerce data"

Tags:

2017-04-12 A propos

http - EntityTag - Value, Caching, Comparison - how to in Jersey - Stack Overflow

Tags:

2017-04-11 A propos

Swagger Core Jersey 2.X Project Setup 1.5 · swagger-api/swagger-core Wiki

Tags:

2017-04-03 A propos

Swagger integration with Jersey

Tags:

2017-04-03 A propos

A New Look at the Semantic Web | September 2016 | Communications of the ACM

Tags:

2017-04-03 A propos

Hydra Architecture Diagram

Tags:

Hydra

2017-03-24 A propos

Web APIs

Tags:

2017-03-02 A propos

[ANN] Apache Jena 3.2.0 released from A. Soroka on 2017-02-13 (semantic-web@w3.org from February 2017)

Tags:

Jena

2017-02-14 A propos

What the Semantic Web can learn from JavaScript

Tags:

2017-01-04 A propos

Google's neural networks invent their own encryption | New Scientist

Tags:

2016-11-06 A propos

java - Jersey: How to get the URI of a resource? - Stack Overflow

Tags:

2016-10-28 A propos

Create a Domain Text Classifier Using Cognonto | Frederick Giasson

Tags:

2016-10-25 A propos

From Strings to Things to a Web of Services

Tags:

2016-10-07 A propos

Using Cognonto to Generate Domain Specific word2vec Models | Frederick Giasson

Tags:

2016-09-29 A propos

La propagande des algorithmes ? Vraiment ? | InternetActu

Tags:

2016-09-18 A propos

The Clever Machine | Topics in Computational Neuroscience & Machine Learning

Tags:

2016-09-17 A propos

What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies | ZDNet

Tags:

2016-09-17 A propos

Introducing a Graph-based Semantic Layer in Enterprises |The Semantic Puzzle

Tags:

2016-09-11 A propos

Understanding neural networks with TensorFlow Playground | Google Cloud Big Data and Machine Learning Blog | Google Cloud Platform

Tags:

2016-07-27 A propos

Java Code Example com.github.jsonldjava.core.JsonLdOptions

Tags:

2016-04-09 A propos

Jersey: UriConnegFilter now declared final, breaks old code: how to fix it? - Stack Overflow

Tags:

2016-04-09 A propos

JsonLdOptions

Tags:

Jsonld/Jena

2016-04-09 A propos

Serialization of JSON-LD using appropriate context · Issue #101 · jsonld-java/jsonld-java

Tags:

Jsonld/Jena

2016-04-09 A propos

Jena: controlling JSON-LD output

Tags:

Jsonld/Jena

2016-04-09 A propos

How to choose between Jersey, Apache Wink and JBoss RESTEasy? - Stack Overflow

Tags:

2016-04-01 A propos

rest - HTTP content negotiation conflicts in JAX-RS/Jersey? - Stack Overflow

Tags:

Jersey Cache-Control

2016-04-01 A propos

Angular 2 versus React: There Will Be Blood — Free Code Camp — Medium

Tags:

2016-03-28 A propos

One Genius’ Lonely Crusade to Teach a Computer Common Sense | WIRED

Tags:

2016-03-27 A propos

Go humans: Lee Sedol scores first victory against supercomputer | World news | The Guardian

Tags:

2016-03-13 A propos

The Sadness and Beauty of Watching Google’s AI Play Go | WIRED

Tags:

Alphago

2016-03-11 A propos

2Vec or Not 2Vec?

Tags:

2016-03-05 A propos

Word2vec: Neural Word Embeddings in Java - Deeplearning4j: Open-source, distributed deep learning for the JVM

Tags:

2016-02-26 A propos

IBM and Microsoft Will Let You Roll Your Own Blockchain | WIRED

Tags:

2016-02-17 A propos

Introduction to Machine learning - Google Slides

Tags:

2016-01-18 A propos

Mini AI app using TensorFlow and Shiny – Opiate for the masses

Tags:

2016-01-15 A propos

[1301.3781] Efficient Estimation of Word Representations in Vector Space

Tags:

2016-01-13 A propos

Game-playing software holds lessons for neuroscience : Nature News & Comment

Tags:

DeepMind

2016-01-12 A propos

How friendly is your AI? It depends on the rewards | Robohub

Tags:

2016-01-09 A propos

TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration

Tags:

TensorFlow

2016-01-07 A propos

IBM Watson APIs hold key to broader cognitive computing use

Tags:

2015-12-30 A propos

Facebook’s open-sourcing of AI hardware is the start of the deep-learning revolution | Ars Technica

Tags:

2015-12-22 A propos

Simple end-to-end TensorFlow examples | Bcomposes

Tags:

2015-12-21 A propos

Google Knowledge Graph Search API | Knowledge Graph Search API | Google Developers

Tags:

Google Knowledge Graph

2015-12-19 A propos

Life on the Ocean Wave

Tags:

2015-11-30 A propos

Research Blog: TensorFlow - Google’s latest machine learning system, open sourced for everyone

Tags:

TensorFlow

2015-11-09 A propos

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Tags:

TensorFlow

2015-11-09 A propos

Colah's blog

Tags:

2015-10-16 A propos

rdfjs/rdfjs.org

Tags:

Javascript RDF

2015-10-15 A propos

Turtles all the way down | Ruben Verborgh

Tags:

2015-10-07 A propos

Towards the future RDF library

Tags:

Javascript RDF

2015-09-12 A propos

Jena Text

Tags:

2015-08-31 A propos

How to to integrate Linkurious.js into Angular.js

Tags:

2015-08-29 A propos

Amazon Web Services opens up machine learning service to European developers

Tags:

2015-08-25 A propos

IBM's 'Rodent Brain' Chip Could Make Our Phones Hyper-Smart | WIRED

Tags:

2015-08-18 A propos

Sgvizler

Tags:

2015-08-14 A propos

Google Product Rich Snippets for Multiple Products on a Page | The Hepp Research Blog on Marketing with Data

Tags:

2015-07-09 A propos

Serving autocomplete suggestions fast!

Tags:

2015-06-15 A propos

AngularJS: API: $q

Tags:

2015-06-12 A propos

An XSLT stylesheet transforming Jena's RDF/XML format to JSON-LD.

Tags:

2015-05-25 A propos

Implementing ETag Caching with Jersey

Tags:

Jersey Cache-Control

2015-05-14 A propos

HTTP Caching in Java with JAX-RS | Heroku Dev Center

Tags:

2015-05-14 A propos

java - Jersey: Default Cache Control to no-cache - Stack Overflow

Tags:

2015-05-14 A propos

Re: Sustainable Codes vs Volatile URIs Re: URIs / Ontology for Physical Units and Quantities from Peter Krauss on 2015-05-07 (public-vocabs@w3.org from May 2015)

Tags:

2015-05-11 A propos

Writing lightweight REST integration tests with the Jersey Test Framework

Tags:

2015-04-09 A propos

search - Solr vs. ElasticSearch - Stack Overflow

Tags:

2015-03-14 A propos

Apache Solr vs ElasticSearch - the Feature Smackdown!

Tags:

2015-03-11 A propos

ElasticSearch vs Solr

Tags:

2015-03-11 A propos

redlink

Tags:

2015-03-09 A propos

The SIREn 1.0 Open Source Release and its Use in the Semantic Web Community - Sindice Blog

Tags:

2015-03-06 A propos

RDF for Solr: Possible implementation strategies

Tags:

2015-03-06 A propos

Skosmos

Tags:

SKOS

2015-03-02 A propos

RDF Interfaces Extension

Tags:

Javascript RDF

2015-02-25 A propos

jsonld.js: A JSON-LD Processor and API implementation in JavaScript.

Tags:

2015-02-25 A propos

Comparison of RDFJS libraries - RDF JavaScript Libraries Community Group

Tags:

Javascript RDF

2015-02-25 A propos

-- ISSUE-45: Introduce hydra:filter (subPropertyOf hydra:search) -- from Thomas Hoppe on 2014-04-20 (public-hydra@w3.org from April 2014)

Tags:

2015-02-19 A propos

Local identifiers in IriTemplates from Dietrich Schulten on 2014-12-13 (public-hydra@w3.org from December 2014)

Tags:

2015-02-19 A propos

Hydra Community Group - wiki

Tags:

2015-02-19 A propos

RDF JavaScript Libraries Community Group

Tags:

2015-02-19 A propos

Re: HELP about jena fuseki and NodeJS

Tags:

2015-02-19 A propos

OldMan: Python OLDM

Tags:

public-hydra@w3.org

2015-02-18 A propos

Collection Design - Hydra Community Group

Tags:

Hydra

2015-02-18 A propos

Re: How to avoid that collections "break" relationships from Ruben Verborgh on 2014-03-31 (public-hydra@w3.org from March 2014)

Tags:

2015-02-18 A propos

Integration of Hydra into Schema.org

Tags:

2015-02-18 A propos

Re: Schema.org Actions - an update and call for review from Sam Goto on 2013-10-17 (public-hydra@w3.org from October 2013)

Tags:

2015-02-18 A propos

Actions in Schema.org / Hydra from Markus Lanthaler on 2013-06-08 (public-vocabs@w3.org from June 2013)

Tags:

2015-02-18 A propos

Hydra Community Group - GitHub

Tags:

2015-02-18 A propos

TemplatedLink

Tags:

2015-02-18 A propos

RE: Newbie questions about Issue tracker demo API

Tags:

public-hydra@w3.org

2015-02-18 A propos

Understanding linked data fragments

Tags:

2015-02-14 A propos

Cache-Control using annotations with Jersey - LexTech

Tags:

Jersey Cache-Control

2015-02-11 A propos

JAX-RS RESTEasy Cache control with ETag example - How To Do In Java

Tags:

2015-02-11 A propos

Lightning-fast RDF in JavaScript | Ruben Verborgh

Tags:

2015-01-31 A propos

The lie of the API | Ruben Verborgh

Tags:

2015-01-30 A propos

Online Ontology Visualization · OWLGrEd: ConfigurationOntology

Tags:

2015-01-30 A propos

R (and SPARQL), part 1 - bobdc.blog

Tags:

2015-01-13 A propos

R Programming | Coursera

Tags:

Coursera: R Programming

2015-01-06 A propos

Wit — Natural language for the Internet of Things

Tags:

2015-01-06 A propos

Qwant

Tags:

Search Engines

2015-01-01 A propos

Browser + SPARQL Server = Wiki | Danny Ayers' Other Alternate Weblog

Tags:

2014-12-30 A propos

WebVOWL - Web-based Visualization of Ontologies

Tags:

Ontologie visualization

2014-12-30 A propos

If You Think Deep Links Are a Big Deal Now, Just Wait | WIRED

Tags:

2014-12-20 A propos

How to Build Linked Data APIs with JSON LD and Hydra - YouTube

Tags:

2014-12-18 A propos

Research Blog: Automatically making sense of data

Tags:

2014-12-04 A propos

Hydra Community Group @ W3C

Tags:

Hydra

2014-11-26 A propos

Re: TPF and DBMSes (was Re: Hydra and Shapes) from Ruben Verborgh on 2014-11-26 (public-hydra@w3.org from November 2014)

Tags:

2014-11-26 A propos

controlling JSON-LD output, Apache Jena main user support list

Tags:

2014-11-18 A propos

Hello World: What your API would look like as a WebPage

Tags:

2014-11-15 A propos

The Read-Write Secure Data Web, Henry Story at semwebpro 2014

Tags:

2014-11-08 A propos

search.datao.net

Tags:

2014-11-08 A propos

Hydra W3C Community Group

Tags:

2014-10-29 A propos

SWEET Semantic Web for Earth and Environmental Terminology

Tags:

2014-10-26 A propos

Hello World: ROWS

Tags:

2014-10-21 A propos

Registering Resources and Providers in Jersey 2 | tl;dr

Tags:

jersey

2014-10-09 A propos

Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning - YouTube

Tags:

2014-10-06 A propos

Machine Learning with Knowledge Graphs - VideoLectures.NET

Tags:

2014-10-06 A propos

Artificial General Intelligence that plays Atari video games: How did DeepMind do it? | Robohub

Tags:

2014-09-26 A propos

Code and tech stuff: Writing REST Services in Java: Part 6 Security & Authorization

Tags:

2014-09-26 A propos

User authentication on a Jersey REST service - Stack Overflow

Tags:

2014-09-26 A propos

Jersey user guide. Chapter 15. Security

Tags:

2014-09-26 A propos

Semantic Web design The limits of responsive design and the API-driven web

Tags:

2014-09-16 A propos

Jersey User Guide

Tags:

jersey

2014-09-16 A propos

What Makes Jersey Interesting: Injection Providers | codahale.com

Tags:

jersey

2014-09-16 A propos

Re: LDP interfaces in Java (based on Jena and JAX-RS) from Jürgen Jakobitsch on 2012-08-06 (public-ldp-wg@w3.org from August 2012)

Tags:

2014-09-10 A propos

Automotive range as e-commerce data (EC-WEB 2014)

Tags:

2014-08-04 A propos

From Taxonomies over Ontologies to Knowledge Graphs |The Semantic Puzzle

Tags:

PoolParty

2014-07-28 A propos

L'application GINCO - Ministère de la Culture et de la Communication

Tags:

GINCO (Culture)

2014-07-26 A propos

Spring Dawns on Artificial Intelligence | AI3:::Adaptive Information

Tags:

2014-07-25 A propos

Big Structure: At The Nexus of Knowledge Bases, the Semantic Web and Artificial Intelligence | AI3:::Adaptive Information

Tags:

Neither the semantic Web nor linked data has developed the practices, tooling or experience to actually interoperate data across the Web... Where it is compliant and from authoritative information sources, linked data can be a gold standard in data publishing. But, linked data is neither necessary nor essential, and may even be a diversion if it sucks the air from the room for what is more broadly useful. 
Interoperability requires reference structures, what we are calling Big Structure. 
Most analysts see firms that are actively pursuing data integration innovations as forward-thinking and more competitive. 
The semantic Web, in our view, is properly understood as a sub-domain of artificial intelligence. Semantic technologies mesh smoothly with natural language tasks and objectives. But, as we noted in a recent review article, artificial intelligence is itself undergoing a renaissance. These advances are coming about because of the use of knowledge-based AI (KBAI), which combines knowledge bases with machine learning and other AI approaches. Natural language and spoken interfaces combined with background knowledge and a few machine-language utilities are what underlie Apple’s Siri, for example.

2014-07-24 A propos

The Automotive Ontology Working Group - Community - Google+

Tags:

2014-07-24 A propos

The Automotive Ontology Working Group

Tags:

Automotive Ontology Working Group

2014-07-24 A propos

LDP4j

Tags:

2014-07-21 A propos

Sphere Engineering - Machine Learning Solutions - QuickAnswers.io: a new algorithm

Tags:

2014-07-04 A propos

Sex and drugs and Rock’n’roll: Analysing the lyrics of the Rolling Stone 500 greatest songs of all time | Alexandre Passant

Tags:

2014-07-03 A propos

Google I/O 2014 Recap: Android, Knowledge Graph and more | Alexandre Passant

Tags:

2014-07-02 A propos

How to Build Your Own Knowledge Graph (Video – Part 1) - Semanticweb.com

Tags:

2014-06-27 A propos

SPARQL with R in less than 5 minutes | (R news & tutorials)

Tags:

2014-06-26 A propos

Extraction de la semantique

Tags:

2014-06-18 A propos

Knowledge-base Extractor (github)

Tags:

2014-05-29 A propos

Google Introduces New Self Driving Car at the Code Conference | Re/code

Tags:

2014-05-28 A propos

A Billion Words: Because today's language modeling standard should be higher

Tags:

2014-05-02 A propos

Seo For Automotive | Above the Fold & Socially Acceptable

Tags:

2014-05-01 A propos

How can Neural Networks be applied to Time Series Forecasting?

Tags:

2014-04-28 A propos

nltk - hierarchical classification + topic model training data for internet articles and social media - Stack Overflow

Tags:

2014-04-23 A propos

Real-Time Topic Modeling of Microblogs

Tags:

2014-04-22 A propos

GoodRelations: technical report

Tags:

GoodRelations

2014-04-21 A propos

OPDM - Ontologies

Tags:

2014-04-19 A propos

Bing - Knowledge Widget (Beta)

Tags:

2014-04-04 A propos

Digit recognition to solve Sudoku puzzles automatically with a webcam - MATLAB Vidéo

Tags:

2014-04-02 A propos

Adding Semantic Search to Apache Solr

Tags:

2014-03-30 A propos

JSON-LD: Finally, Google Honors Invisible Data for SEO | The Hepp Research Blog on Marketing with Data

Tags:

2014-03-26 A propos

Studio Ousia Envisions A World Of Semantic Augmented Reality - Semanticweb.com

Tags:

2014-03-26 A propos

How To Tell Search Engines What "Entities" Are On Your Web Pages

Tags:

2014-03-26 A propos

JSON-LD, the Google Knowledge Graph and schema.org SEO

Tags:

2014-03-19 A propos

Are the robots about to rise? Google's new director of engineering thinks so… | Technology | The Observer

Tags:

2014-03-08 A propos

SindiceTech Helps Enterprises Build Private Linked Data Clouds - Semanticweb.com

Tags:

2014-03-07 A propos

Google's Hummingbird Update: Friend or Foe of the Marketing Executive? | ClickZ

Tags:

2014-02-25 A propos

Querying my own MP3, image, and other file metadata with SPARQL - bobdc.blog

Tags:

2014-02-18 A propos

BBC News - IBM's Watson in Africa to help solve problems

Tags:

2014-02-17 A propos

Reflections on a Year spent developing with RDF and JSON (Software Development on the Cloud Exploration)

Tags:

2014-02-05 A propos

Cognitive computing can take the semantic Web to the next level | Big Data - InfoWorld

Tags:

2014-02-03 A propos

Numenta: Hierarchical Temporal Memory, including HTM cortical learning algorithms

Tags:

2014-01-19 A propos

WebRTC

Tags:

2014-01-08 A propos

Use deck.js as a remote presentation tool | ginger's thoughts

Tags:

2014-01-08 A propos

Freebase knowledge maps

Tags:

2014-01-05 A propos

How IBM's Watson Will Change The Way We Work - Forbes

Tags:

IBM Watson

2013-12-18 A propos

How Online Retailers Can Leverage Unique Identifiers & Structured Data

Tags:

Semantic SEO

2013-12-12 A propos

seo - Does a 303 status code pass page rank? - Webmasters Stack Exchange

Tags:

SEO

2013-12-11 A propos

N3.js

Tags:

2013-12-04 A propos

C2GWeb-js

Tags:

C2GWeb-JS

2013-11-22 A propos

IBM to offer Watson supercomputer as cloud development platform | ITworld

Tags:

IBM Watson

2013-11-18 A propos

Knowledge graphs utilised for content personalisation and discovery on the Web | It's all about music discovery!

Tags:

2013-11-09 A propos

Google Hummingbird: When Evolutionary Becomes Revolutionary

Tags:

2013-10-14 A propos

Google in Jeopardy: What If IBM's Watson Dethroned the King of Search? | Wired Opinion | Wired.com

Tags:

2013-10-05 A propos

Re: SKOS for schema.org proposal for discussion from Guha on 2013-10-03 (public-vocabs@w3.org from October 2013)

Tags:

2013-10-05 A propos

Un nouveau moteur de recherche pour Gallica | Gallica

Tags:

2013-09-23 A propos

WebSchemas/SKOS - W3C Wiki

Tags:

2013-09-22 A propos

Hosting a Maven repository on github - Stack Overflow

Tags:

2013-09-13 A propos

Old semanlink schema in a github project!

Tags:

2013-09-13 A propos

blog.aksw.org » Blog Archive » OntoWiki Feature of the Week: Document Management

Tags:

OntoWiki

2013-09-10 A propos

OntoWiki — Agile Knowledge Management and Semantic Web (AKSW)

Tags:

OntoWiki

2013-09-10 A propos

Discovery Hub

Tags:

2013-09-07 A propos

RDFa 1.1, microdata, and turtle-in-HTML now in the core distribution of RDFLib | Ivan’s private site

Tags:

2013-09-06 A propos

TurtleScript

Tags:

2013-09-06 A propos

Google’s Self-Driving Cars Are Going to Change Everything (Vancouver Data Blog by Neil McGuigan)

Tags:

Google car

2013-09-05 A propos

Bing Says Goodbye To Bing Shopping, Hello Product Search With Rich Captions & Product Ads

Tags:

Bing

2013-09-02 A propos

Ixquick Web Recherche

Tags:

Search Engines

2013-09-02 A propos

http://www.qwant.com/

Tags:

Search Engines

2013-09-02 A propos

danja/seki

Tags:

2013-08-31 A propos

Generating documentation from RDFS and/or OWL vocabularies - ANSWERS

Tags:

RDF-OWL documentation tool

2013-08-28 A propos

RDF2RDFa-izer

Tags:

2013-08-27 A propos

Flash SEO: 5 Tips and Best Practices for Optimizing Flash Websites

Tags:

2013-08-27 A propos

Google investit dans le service de taxis Uber

Tags:

Google car

2013-08-26 A propos

search-engine-optimization-starter-guide.pdf

Tags:

2013-08-23 A propos

Removing HTML from a Java String - Stack Overflow

Tags:

2013-08-20 A propos

Thesaurus-augmented Search with Jena Text | ZBW Labs

Tags:

2013-08-12 A propos

Nice Tag ontology

Tags:

2013-08-09 A propos

Elementary, My Dear Watson - Will IBM’s quiz show champion outgrow humankind?

Tags:

2013-07-31 A propos

Vehicles, and customizable products from Francois-Paul Servant on 2013-07-23 (public-vocabs@w3.org from July 2013)

Tags:

2013-07-29 A propos

11 Billion Clues in 800 Million Documents: A Web Research Corpus Annotated with Freebase Concepts

Tags:

2013-07-18 A propos

Linked Data API for JavaScript

Tags:

2013-07-15 A propos

Ether Rag: Duck Duck Go: Illusion of Privacy

Tags:

2013-07-14 A propos

NERD: Named Entity Recognition and Disambiguation

Tags:

2013-07-10 A propos

Natural Language Understanding-focused awards announced

Tags:

2013-07-10 A propos

Re: Should we adopt SKOS? from Mike Bergman on 2013-01-11 (public-vocabs@w3.org from January 2013)

Tags:

2013-07-06 A propos

[ANN] Public release of Glimmer RDF search engine and demo from Peter Mika on 2013-06-20 (public-vocabs@w3.org from June 2013)

Tags:

2013-06-24 A propos

At SemTechBiz, Knowledge Graphs Are Everywhere - semanticweb.com

Tags:

2013-06-18 A propos

Start Your Semantic Engines: TrueCar Looks To Foster Transition Of Vehicle Data From Flat To Structured And Enhanced - semanticweb.com

Tags:

2013-06-17 A propos

Google Structured Data Testing Tool

Tags:

2013-06-13 A propos

DuckDuckGo

Tags:

DuckDuckGo

2013-06-13 A propos

GAO wiki

Tags:

2013-06-03 A propos

Using SKOS vocabularies for improving Web Search

Tags:

2013-05-30 A propos

The Man Behind the Google Brain: Andrew Ng and the Quest for the New AI | Wired Enterprise | Wired.com

Tags:

2013-05-25 A propos

Google I/O 2013 - From Structured Data to the Knowledge Graph - YouTube

Tags:

2013-05-23 A propos

Launching the Quantum Artificial Intelligence Lab

Tags:

2013-05-17 A propos

Showing distribution of Open University course topics with R and SPARQL « LinkedUp DevTalk

Tags:

2013-05-08 A propos

Facebook Natural Language Engineering

Tags:

2013-05-07 A propos

SemTechBiz Puts Spotlight On Financial Industry Business Ontology - semanticweb.com

Tags:

2013-04-27 A propos

Describing Customizable Products on the Web of Data, LDOW 2013

Tags:

2013-04-25 A propos

C2GWeb-js: Renault Configuration data as RDF, tutorial

Tags:

2013-04-17 A propos

Financial Industry Business Ontology (FIBO)

Tags:

FIBO

2013-04-16 A propos

CiteSeerX — Collaborative Creation of Semantic Points of Interest as Linked Data on the Mobile Phone

Tags:

2013-04-16 A propos

Bigger, Better Google Ngrams: Brace Yourself for the Power of Grammar - Ben Zimmer - The Atlantic

Tags:

2013-04-08 A propos

Understand Your World with Bing - Search Blog

Tags:

2013-03-25 A propos

Wikilinks - Information Extraction and Synthesis Laboratory

Tags:

Wikilinks Corpus

2013-03-12 A propos

Learning from Big Data: 40 Million Entities in Context

Tags:

Wikilinks Corpus

2013-03-12 A propos

Parrot, a RIF and OWL documentation service

Tags:

Parrot

2013-03-12 A propos

eClassOWL - The Web Ontology for Products and Services

Tags:

eClassOWL

2013-03-02 A propos

schema blog: Good Relations and Schema.org

Tags:

2013-02-15 A propos

Tarql: SPARQL for Tables - cygri/tarql · GitHub

Tags:

2013-02-08 A propos

SKOS2OWL: Online tool for deriving OWL ontologies from SKOS categorization schemas

Tags:

2013-02-08 A propos

SKOS in OWL 2 - SWIGroup Wiki

Tags:

SKOS/OWL

2013-02-07 A propos

SKOS Now Interoperates with OWL 2 | AI3:::Adaptive Information

Tags:

2013-02-07 A propos

RDFa format data: what is its impact and when should you implement?

Tags:

2013-01-30 A propos

[goodrelations] vso:feature, dbPedia and productontology

Tags:

2013-01-29 A propos

[goodrelations] gr:ProductFeature

Tags:

2013-01-29 A propos

Semargl: better linked data processing

Tags:

2013-01-28 A propos

What is the best Java RDFa Parser? - semanticweb.com ANSWERS

Tags:

2013-01-28 A propos

Kingsley Idehen - Google+ - Google Knowledge Graph to Linked Data Here are some simple…

Tags:

2013-01-25 A propos

Knowledge Graph links to Freebase - W3C Semantic Web discussion list

Tags:

2013-01-24 A propos

Bing Gets Its Own Knowledge Graph Via Britannica Partnership

Tags:

2013-01-24 A propos

castagna/jena-examples · GitHub

Tags:

2012-12-09 A propos

The rise of the verb

Tags:

2012-12-01 A propos

Re: Dealing with expensive queries (jena users mailing list)

Tags:

Jena dev

2012-12-01 A propos

Google’s Driver-less Car and Morality : The New Yorker

Tags:

2012-11-30 A propos

LODE - Live OWL Documentation Environment

Tags:

2012-11-23 A propos

Facebook Is Quietly Ramping Up A Product That 'Kills Us,' Says Yahoo Source - Business Insider

Tags:

2012-11-22 A propos

The goodrelations November 2012 Archive by thread

Tags:

2012-11-15 A propos

GoodRelations Fully Integrated with Schema.org - semanticweb.com

Tags:

2012-11-14 A propos

Documentation/Product features - GoodRelations Wiki

Tags:

2012-11-12 A propos

Re: Using DBpedia resources as skos:Concepts? from François-Paul Servant on 2012-11-12 (public-esw-thes@w3.org from November 2012)

Tags:

2012-11-12 A propos

LodLive - browsing the Web of Data

Tags:

2012-11-10 A propos

EDOAL: Expressive and Declarative Ontology Alignment Language

Tags:

2012-11-10 A propos

Tools for exporting SKOS to human readable form (HTML) from Peter Krantz on 2012-10-24 (public-esw-thes@w3.org from October 2012)

Tags:

2012-10-25 A propos

Why is Google not showing rich snippets for my pages? - GoodRelations Wiki

Tags:

2012-10-15 A propos

An Illustrated Guide To E-Commerce Markup Using GoodRelations

Tags:

2012-10-13 A propos

jquery.rdf.turtle.js - rdfquery - RDF processing in your browser - Google Project Hosting

Tags:

2012-10-03 A propos

Issue 32 - rdfquery - memory leaks/perfomance issues caused by $.rdf#databanks member (array) - RDF processing in your browser - Google Project Hosting

Tags:

2012-09-20 A propos

jQuery BBQ: Back Button & Query Library

Tags:

2012-09-18 A propos

COLD - Configuration ontology / LOV

Tags:

2012-09-10 A propos

Tags:

2012-09-02 A propos

ldodds/dowl · GitHub

Tags:

2012-09-02 A propos

RDFa for videos rendered in javascript - Stack Overflow

Tags:

2012-09-01 A propos

Using RDFa to make a web page editable - Henri Bergius

Tags:

2012-09-01 A propos

What is a good Javascript RDFa parser implementation? - Stack Overflow

Tags:

2012-09-01 A propos

Apache Jena - Using Jena with Apache Maven

Tags:

2012-08-14 A propos

Create.js - Create.js Integration Guide

Tags:

create.js

2012-08-10 A propos

Ontology Design Patterns . org (ODP)

Tags:

2012-08-10 A propos

La salle de classe planétaire

Tags:

2012-08-09 A propos

rdfQuery: Progressive Enhancement with RDFa | Jeni's Musings

Tags:

2012-08-09 A propos

Mark it up! (nice rdfQuery demo)

Tags:

2012-08-09 A propos

VIE.js - Skeleton - jsFiddle

Tags:

2012-08-08 A propos

In a Big Network of Computers, Evidence of Machine Learning - NYTimes.com

Tags:

2012-08-07 A propos

Decoupling Content Management - Henri Bergius

Tags:

2012-08-06 A propos

visualization of skos thesauri (public-esw-thes@w3.org from July 2012)

Tags:

2012-08-06 A propos

Sindicetech: enterprise linked data clouds

Tags:

2012-07-31 A propos

The Rationale for Semantic Technologies » AI3:::Adaptive Information

Tags:

2012-07-31 A propos

Watson Goes Back to School - And what it tells us about the evolving role of semantic technology

Tags:

2012-07-30 A propos

IKS-Stanbol - Topic Classification

Tags:

2012-07-26 A propos

Decoupling Content Management with CreateJS and VIE on Vimeo

Tags:

2012-07-12 A propos

Mokka mit Schlag » POST vs. PUT

Tags:

2012-07-12 A propos

Things to remember: Resteasy Form annotation for Jersey

Tags:

jersey

2012-07-10 A propos

tkurz/skosjs · GitHub

Tags:

2012-07-10 A propos

Graph Kernels for RDF data | Semantic Web Dog Food

Tags:

2012-06-24 A propos

Ben Alman » jQuery hashchange event

Tags:

2012-06-21 A propos

Semantic UI Development with VIE | IKS Blog – The Semantic CMS Community

Tags:

2012-06-15 A propos

OWLIM | Ontotext

Tags:

2012-06-13 A propos

Hallo.js - Editing Markdown in WYSIWYG

Tags:

2012-06-06 A propos

From Words to Concepts and Back: Dictionaries for Linking Text, Entities and Ideas

Tags:

2012-05-22 A propos

Deconstructing the Google Knowledge Graph » AI3:::Adaptive Information

Tags:

2012-05-19 A propos

Introducing the Knowledge Graph: things, not strings | Official Google Blog

Tags:

Google Knowledge Graph

2012-05-17 A propos

Search smarter with Apache Solr, Part 2: Solr for the enterprise

Tags:

2012-05-15 A propos

Search smarter with Apache Solr, Part 1: Essential features and the Solr schema

Tags:

2012-05-15 A propos

Pragmatic Approaches to the Semantic Web » AI3:::Adaptive Information

Tags:

2012-05-15 A propos

Solr RDF Support | Drupal Groups

Tags:

2012-05-10 A propos

The Semantic Web Has Gone Mainstream! Wanna Bet? - semanticweb.com

Tags:

2012-05-10 A propos

structWSF-Open-Semantic-Framework/framework/solr_schema_v1_2.xml

Tags:

2012-05-10 A propos

RDF Aggregates and Full Text Search on Steroids with Solr at Frederick Giasson’s Weblog

Tags:

2012-05-10 A propos

Solr - OpenStructs TechWiki

Tags:

2012-05-10 A propos

Sleepless in Salt Lake City: An Example of Caching with REST using Jersey JAX-RS

Tags:

2012-05-07 A propos

castagna/SARQ · GitHub

Tags:

2012-05-04 A propos

lucene-skos - A SKOS analyzer module for Apache Lucene and Solr - Google Project Hosting

Tags:

2012-05-04 A propos

Rich snippets - Products

Tags:

2012-04-25 A propos

From Linked Data to Linked Entities: a Migration Path - Giovanni Bartolomeo, Stefano Salsano

Tags:

2012-04-20 A propos

LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge

Tags:

2012-04-19 A propos

Factorizing Yago: scalable machine learning for the sw

Tags:

2012-04-18 A propos

A Spectrometry of Linked Data

Tags:

Entity mining is still a troublesome open problem. In past years many approaches allowed to automate the generation of equivalence links between references using schema matching or various heuristics based on the recognition of similar property values. In contrast, few of them considered the analysis of the network of equivalence links (“equivalence network”) as an indication of the likelihood and strength of the equivalence.

Could a URI reference (URIRef) be thought as exactly “attached” to its referent? Could it make sense to talk about entity “identifiers” or would it be better to talk about more ambiguous “references”, i.e., placeholders for any model that satisfies the formal semantics of the Semantic Web (Hayes)? Booth observes that the aforementioned question, which in the past has been often regarded as fundamental in the debate about identity on the Web, is relatively unimportant. As long as an entity, identified by whatsoever URIRef, is associated to at least one description containing machine understandable information, this information can be automatically processed and used by applications.

2012-04-16 A propos

NERD meets NIF: Lifting NLP Extraction Results to the Linked Data Cloud

Tags:

2012-04-16 A propos

Automated interlinking of speech radio archives

Tags:

2012-04-14 A propos

Google Becomes Answer Engine With Semantic Technology − Great News For Retailers

Tags:

2012-04-14 A propos

Introduction to Information Retrieval, Cambridge University Press (2008) Manning, Raghavan, and Schütze

Tags:

2012-04-01 A propos

Sommer — Java.net

Tags:

2012-03-29 A propos

Google Ngram Viewer

Tags:

2012-03-24 A propos

All Our N-gram are Belong to You

Tags:

2012-03-24 A propos

SRILM - The SRI Language Modeling Toolkit

Tags:

2012-03-24 A propos

BBC - Research and Development: Automatically tagging the World Service archive

Tags:

2012-03-23 A propos

RESTful services with jQuery and Java using JAX-RS and Jersey

Tags:

2012-03-21 A propos

Serializing Apache Jena's RDF resources via JAXB into JSON docments in a JAX-RS context.

Tags:

2012-03-19 A propos

backplanejs: A basic introduction to using the RDFa Parser in your web pages

Tags:

2012-03-19 A propos

Unix for Poets

Tags:

2012-03-19 A propos

Porter Stemming Algorithm

Tags:

2012-03-18 A propos

Regular-Expressions.info - Regex Tutorial, Examples and Reference - Regexp Patterns

Tags:

2012-03-07 A propos

IBM’s Watson Computer Gets a Wall Street Job - Bloomberg

Tags:

2012-03-06 A propos

How do I redirect from Apache to Tomcat?

Tags:

Integrating Tomcat with Apache

2012-03-02 A propos

bergie/noflo - GitHub

Tags:

2012-02-28 A propos

NLP2RDF | Converting NLP tool output to RDF

Tags:

2012-02-28 A propos

Mathematics Subject Classification MSC2010

Tags:

2012-02-23 A propos

Rdfj

Tags:

2012-02-21 A propos

RDFa demonstracija

Tags:

2012-02-21 A propos

Danny Ayers - Google+ - I've knocked together a serializer for Jena to the minimal…

Tags:

2012-02-20 A propos

DuckDuckGo

Tags:

Search Engines

2012-02-20 A propos

Helping online communities to semantically enrich folksonomies

Tags:

2012-02-20 A propos

From Idea to Web - Creating Linked Data Apps

Tags:

2012-02-11 A propos

Create — A new kind of web editing interface

Tags:

2012-02-07 A propos

Configuration ontology

Tags:

Configuration ontology

2012-02-07 A propos

[#JENA-203] support for Non Blocking Parsers - ASF JIRA

Tags:

2012-02-02 A propos

What Makes Jersey Interesting: Parameter Classes | codahale.com

Tags:

2012-01-19 A propos

Semantic SEO for the Automotive Industry on Vimeo

Tags:

2012-01-12 A propos

Question answering over Linked Data - Interacting with Linked Data

Tags:

2012-01-05 A propos

Linking patterns - Semantic Web Standards

Tags:

2012-01-03 A propos

Toward a Basic Profile for Linked Data

Tags:

2011-12-27 A propos

WordPress › PoolParty Thesaurus « WordPress Plugins

Tags:

2011-12-27 A propos

IBM's Five Predictions for the Next Five Years - BusinessWeek

Tags:

2011-12-21 A propos

Using DBpedia to generate SKOS thesauri « About the social semantic web

Tags:

2011-12-18 A propos

Semantic SEO Comes to Prestashop e-commerce Sites - semanticweb.com

Tags:

2011-12-17 A propos

"Modular Unified Tagging Ontology (MUTO)"

Tags:

2011-11-17 A propos

UMBEL Services, Part 2: Full-text, Faceted Search » AI3:::Adaptive Information

Tags:

2011-11-13 A propos

A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry

Tags:

2011-10-25 A propos

Geological Survey Austria launches thesaurus project |The Semantic Puzzle

Tags:

2011-10-18 A propos

ANN: Renault adds GoodRelations to UK Shop

Tags:

2011-10-12 A propos

Linked Enterprise Data Patterns

Tags:

2011-10-08 A propos

The Volkswagen Vehicles Ontology (VVO)

Tags:

2011-09-23 A propos

Volkswagen: Das Auto Company is Das Semantic Web Company! - semanticweb.com

Tags:

2011-09-23 A propos

RDF export/import should be W3C standard SKOS - here is the patch | drupal.org

Tags:

2011-09-16 A propos

The Semantic Web, Linked Data and Drupal, Part 2: Combine linked datasets with Drupal 7 and SPARQL Views

Tags:

2011-09-16 A propos

The Semantic Web, Linked Data and Drupal, Part 1: Expose your data using RDF

Tags:

2011-09-15 A propos

VIE - IKS Project

Tags:

2011-09-13 A propos

RDF store for use with node.js?

Tags:

2011-09-13 A propos

Linked Data Patterns

Tags:

2011-09-10 A propos

Clerezza: An Apache Project for the Semantic Web | Javalobby

Tags:

2011-09-09 A propos

trialox ag

Tags:

2011-09-09 A propos

rdfstore-js

Tags:

2011-08-28 A propos

REST with Java (JAX-RS) using Jersey - Tutorial

Tags:

2011-08-23 A propos

Support variant selection based on file extension

Tags:

jersey

2011-08-23 A propos

Google Author Rich Snippets | Internet Alchemy

Tags:

2011-08-22 A propos

A Semantic Web Representation of a Product Range Specification based on Constraint Satisfaction Problem in the Automotive Industry

Tags:

2011-08-20 A propos

Serialising Java Objects to RDF with Jersey (The Sun BabelFish Blog)

Tags:

2011-08-19 A propos

Overview of JAX-RS 1.0 Features - Jersey: RESTful Web services made easy - wikis.sun.com

Tags:

2011-08-19 A propos

Semantic SEO for Automotive

Tags:

2011-08-16 A propos

Making AJAX Applications Crawlable - Google Code

Tags:

2011-08-11 A propos

Build a RESTful Web service using Jersey and Apache Tomcat

Tags:

2011-07-29 A propos

Jersey User Guide

Tags:

jersey

2011-07-29 A propos

ontology-browser - An OWL Ontology and RDF (Linked Open Data) Browser - Google Project Hosting

Tags:

2011-07-19 A propos

Semai » Blog Archive » OWL 2 for RDF vocabularies

Tags:

2011-07-17 A propos

QUDT - Quantities, Units, Dimensions and Data Types in OWL and XML

Tags:

2011-07-11 A propos

Putting OWL in Order: Patterns for Sequences in OWL

Tags:

2011-07-05 A propos

CSP - A vocabulary to represent Constraint Satisfaction Problems. | DERI Vocabularies

Tags:

2011-06-29 A propos

Please allow JS access to Ontologies and LOD

Tags:

2011-06-28 A propos

Creating Domain-specific Products and Services Ontologies for GoodRelations

Tags:

2011-06-28 A propos

LOC - The Linked Open Commerce Dataspace

Tags:

2011-06-23 A propos

GoodRelations for manufacturers

Tags:

GoodRelations

2011-06-10 A propos

What Schema.org Means for SEO and Beyond

Tags:

2011-06-10 A propos

iQvoc

Tags:

SKOS editor

2011-06-09 A propos

Installing Graphviz for protegé

Tags:

2011-06-08 A propos

schema.org

Tags:

2011-06-07 A propos

Improve your taxonomy management using the W3C SKOS standard

Tags:

2011-05-12 A propos

UriConnegFilter (jersey-bundle 1.6 API)

Tags:

jersey

2011-04-18 A propos

Quality Criteria for SKOS Vocabularies - GitHub

Tags:

SKOS

2011-04-12 A propos

jQuery TOOLS - The missing UI library for the Web

Tags:

2011-04-06 A propos

The Product Types Ontology: Use Wikipedia pages for describing products or services with GoodRelations

Tags:

2011-04-05 A propos

Open eBusiness Ontology Usage: Investigating Community Implementation of GoodRelations

Tags:

2011-04-05 A propos

Investigating Community Implementation of the GoodRelations Ontology

Tags:

2011-04-05 A propos

Semantic SEO for Google with GoodRelations and RDFa | Hepp Research GmbH

Tags:

2011-03-24 A propos

The Vehicle Sales Ontology (VSO)

Tags:

VSO

2011-03-24 A propos

The Car Options Ontology (COO)

Tags:

Car Options Ontology

2011-03-24 A propos

The Car Options Ontology (COO)

Tags:

Car Options Ontology

2011-03-24 A propos

Car Options Ontology at Schemapedia

Tags:

Car Options Ontology

2011-03-24 A propos

VSO / Goodrelations

Tags:

2011-03-24 A propos

TDB/QuadFilter - Jena Wiki

Tags:

Jena TDB

2011-03-15 A propos

SparqlTree - oort - Automatic treeification of SPARQL query results. - Project Hosting on Google Code

Tags:

2011-03-07 A propos

Spark

Tags:

SPARQL en javascript

2011-03-07 A propos

The Semantic Puzzle | Transforming spreadsheets into SKOS with Google Refine

Tags:

2011-02-21 A propos

GraphViz and SKOS...

Tags:

2011-02-16 A propos

Subject classification with DITA and SKOS

Tags:

2011-02-15 A propos

Marking up products for rich snippets

Tags:

Google Rich Snippets

2011-02-09 A propos

Rich snippets: Shopping and products

Tags:

Google Rich Snippets

2011-02-09 A propos

goodrelations-based rich snippet example in google query - Semantic Overflow

Tags:

2011-02-09 A propos

Rich snippets (microdata, microformats, RDFa)

Tags:

Google Rich Snippets

2011-02-09 A propos

What is the best Java RDFa Parser? - Semantic Overflow

Tags:

2011-02-09 A propos

What SKOS-XL adds to SKOS - bobdc.blog

Tags:

2011-02-08 A propos

REST: Jersey configuration on Tomcat - Surya Suravarapu's Blog

Tags:

2011-02-04 A propos

Elda -- an implementation of the Linked Data API

Tags:

Elda

2011-01-24 A propos

SPARQL guide for the Javascript Developer

Tags:

2011-01-22 A propos

RAP - Rdf API for PHP

Tags:

2011-01-22 A propos

Describing SPARQL Extension Functions « Lost Boy

Tags:

2011-01-10 A propos

SPIN Modeling Vocabulary

Tags:

TopBraid/SPIN

2011-01-10 A propos

Ascension Semantica: A New SPIN Cycle

Tags:

SPIN functions

2011-01-09 A propos

VOYAGES OF THE SEMANTIC ENTERPRISE: How to: convert a spreadsheet to SKOS

Tags:

2011-01-09 A propos

Thinking ‘Inside the Box’ with Description Logics » AI3:::Adaptive Information

Tags:

2011-01-05 A propos

Using DBpedia resources as skos:Concepts?

Tags:

SKOS

2010-12-27 A propos

SPARQL more than a query language! - Semantic Overflow

Tags:

2010-12-27 A propos

jena-dev : Message: Re: [jena-dev] Could TDB sort triples by objects?

Tags:

2010-12-22 A propos

Describe a topic of a concept - Semantic Overflow

Tags:

2010-12-22 A propos

The topic topic

Tags:

2010-12-22 A propos

WHERE OWL fails

Tags:

2010-12-17 A propos

Welcome to Apache Clerezza

Tags:

Clerezza

2010-12-16 A propos

SPARQL for SKOS integrity constraints

Tags:

2010-12-16 A propos

Navigational Knowledge Engineering (NKE) and HANNE

Tags:

Ontologies

2010-12-14 A propos

Composing the Semantic Web: The Object-Oriented Semantic Web with SPIN

Tags:

TopBraid/SPIN

2010-12-13 A propos

How do I know when to use OWL and when to Rules? How can I use them both together?

Tags:

2010-10-17 A propos

SPIN - SPARQL Inferencing Notation

Tags:

TopBraid/SPIN

SPIN is a collection of RDF vocabularies enabling the use of SPARQL to define constraints and inference rules on Semantic Web models. SPIN also provides meta-modeling capabilities that allow users to define their own SPARQL functions and query templates. Finally, SPIN includes a ready to use library of common functions. 
Instead of relying on the textual representation of SPARQL expressions, SPIN offers an RDF Schema for SPARQL. As a result, SPARQL queries can be stored as RDF triples together with any RDF domain model. This enables linkage of RDF resources with the associated SPARQL queries as well as sharing and reuse of SPARQL queries as part of Semantic Web models. An RDF vocabulary for SPARQL is the first layer in the SPIN framework.
 
Using the SPARQL RDF syntax, SPIN defines a light-weight collection of RDF properties that allow domain modelers to attach inference rules (as SPARQL Construct queries) and constraint checks/unit tests (as Construct or Ask queries) to RDFS or OWL class definitions

2010-10-01 A propos

Integrate disparate data sources with Semantic Web technology

Tags:

2010-09-30 A propos

Semantic Enterprise: What Are The Gorillas Doing? (Oracle, IBM, HP, Cisco, Microsoft and SAP) - Semantic Web

Tags:

2010-09-17 A propos

Bridging the Gap Between OWL and Relational Databases

Tags:

2010-09-06 A propos

Expressing Constraints using RDF/OWL or something else? - Semantic Overflow

Tags:

2010-09-06 A propos

Model Driven Development with Semantic Web Technologies

Tags:

2010-09-06 A propos

blog.aksw.org » AKSW coordinates EU-funded research project LOD2 aiming to take the Web of Linked Data to the next level

Tags:

2010-09-06 A propos

Poolparty Demozone

Tags:

2010-08-31 A propos

PoolParty » SKOS Thesaurus Management – Semantic Search – Linked Data

Tags:

2010-08-31 A propos

The Semantic Puzzle | Why SKOS thesauri matter – the next generation of semantic technologies

Tags:

SKOS

2010-08-31 A propos

Hook up Google Visualization with RDF data - Data-gov Wiki

Tags:

2010-08-27 A propos

Google Visualization API Gallery - Google Chart Tools / Interactive Charts (aka Visualization API) - Google Code

Tags:

Google Visualization API

2010-08-27 A propos

S is for Semantics: Extending OWL RL

Tags:

2010-08-27 A propos

Bridge between SW communities: OWL RL « Ivan’s private site

Tags:

OWL RL

2010-08-27 A propos

Trying SPARQL 1.1 new query features with ARQ - bobdc.blog

Tags:

2010-08-20 A propos

Linked Data Entity Extraction with Zemanta and OpenCalais - benjamin nowack's blog

Tags:

2010-08-12 A propos

Ontology-supported Business Intelligence (ISWC 2008)

Tags:

2010-07-31 A propos

Semantic Web Patterns: A Guide to Semantic Technologies

Tags:

2010-07-30 A propos

How Best Buy Is Using The Semantic Web - NYTimes.com

Tags:

2010-07-30 A propos

Schools Online Thesaurus

Tags:

2010-07-26 A propos

Submission Request to W3C: OWLlink Protocol

Tags:

2010-07-20 A propos

Probabilistic Reasoning in the Semantic Web using Markov Logic

Tags:

2010-07-19 A propos

GoodRelations Annotator

Tags:

2010-07-19 A propos

Empire: RDF & SPARQL Meet JPA | Semantic Universe

Tags:

2010-07-06 A propos

Smarter Than You Think - I.B.M.'s Supercomputer to Challenge 'Jeopardy!' Champions - NYTimes.com

Tags:

IBM Watson

2010-06-23 A propos

How IBM Plans to Win Jeopardy!

Tags:

IBM Watson

2010-06-23 A propos

ARQ - Property Paths

Tags:

ARQ

2010-06-10 A propos

Extracting Enterprise Vocabularies Using Linked Open Data

Tags:

2010-05-31 A propos

JavaScript Reference

Tags:

2010-05-27 A propos

Java Framework for Content Negotiation

Tags:

2010-05-22 A propos

Nouveautés sur le site hyperSOLutions (1998)

Tags:

2010-05-17 A propos

Corese

Tags:

2010-05-14 A propos

Serialising Java Objects to RDF with Jersey

Tags:

2010-05-12 A propos

Linked Data Patterns

Tags:

2010-05-10 A propos

skoseditor

Tags:

2010-05-07 A propos

GoodRelations vs. Google RDFa vs. Open Graph vs. hProduct/hListing: Using GoodRelations in 10 Triples

Tags:

GoodRelations

2010-05-03 A propos

Map and Territory in RDF APIs

Tags:

2010-04-28 A propos

Pipl - People Search

Tags:

Web search

2010-04-26 A propos

RAP - Rdf API for PHP V0.9.6 - Home

Tags:

2010-04-01 A propos

The Semantic Puzzle | Linking Open Data to Thesaurus Management

Tags:

2010-03-07 A propos

Federated SPARQL queries - bobdc.blog

Tags:

2010-01-20 A propos

Jena Semantic Web Framework

Tags:

Jena

2009-11-12 A propos

Linking Folksonomies and Ontologies for Supporting Knowledge Sharing: a State of the Art

Tags:

2009-11-03 A propos

ARQtick: Jena-Mulgara : example of implementing a Jena graph

Tags:

2009-09-18 A propos

SKOS + DC + Linked Data = Semantic Tagging? - benjamin nowack's blog

Tags:

2009-08-27 A propos

jena-dev : Message: Joseki requirements

Tags:

2009-06-26 A propos

SearchMonkey and RDFa - bobdc.blog

Tags:

2009-06-15 A propos

Composing the Semantic Web: Creating documents with SPARQL and JSP

Tags:

2009-06-06 A propos

"Semantic Web for the Working Ontologist" - bobdc.blog

Tags:

2009-05-28 A propos

SourceForge.net: Jena: SCM

Tags:

2009-05-28 A propos

SPARCool supports JSONP callbacks | Alexandre Passant

Tags:

2009-05-20 A propos

Binding Java Objects to RDF

Tags:

2009-05-14 A propos

Official Google Webmaster Central Blog: Introducing Rich Snippets - Welcome Google, really.

Tags:

2009-05-14 A propos

Official Google Webmaster Central Blog: Introducing Rich Snippets

Tags:

2009-05-13 A propos

SKOS implementation: Rameau subjects as linked data

Tags:

2009-04-28 A propos

Html Validator :: Modules pour Firefox

Tags:

2009-04-28 A propos

Comment contourner les systèmes de traçabilité ?

Tags:

2009-04-22 A propos

Semantic Technologies for Archaeological Resources

Tags:

2009-04-20 A propos

tagliatelle delicious RDFizer

Tags:

2009-04-11 A propos

Which browsers have problems caching XMLHTTPRequest responses? - Stack Overflow

Tags:

2009-04-07 A propos

Yahoo! adds RDF support to SearchMonkey and BOSS

Tags:

2009-02-13 A propos

ISWC 2008: Some Questions - Inference: Is it always forward chaining?

Tags:

2009-01-03 A propos

"E Pluribus Unum", or "Inversely Functional Identity", or "Smooshing Without the Stickiness" (re-updated)

Tags:

2008-12-17 A propos

Message: RE: [jena-dev] ARQ property functions: is it possible to use a blank node as argObject?

Tags:

2008-12-12 A propos

W3C Semantic Web Activity News - Eleven W3C Publications Related to OWL 2

Tags:

2008-12-08 A propos

IBM plans 'brain-like' computers

Tags:

2008-11-24 A propos

jena-dev : Message: Creating custom model for legacy system (Newbie question)

Tags:

2008-11-20 A propos

Yahoo! Search Blog: Yahoo! Search BOSS Releases Key Terms

Tags:

Yahoo!

2008-11-19 A propos

Create test cases for Web applications

Tags:

2008-11-18 A propos

SDB/Store Description - Jena wiki

Tags:

2008-11-17 A propos

SDB/Dataset Description - Jena wiki

Tags:

2008-11-17 A propos

the Assembler howto

Tags:

2008-11-17 A propos

Jena Assembler (D2RQ V0.5 - User Manual)

Tags:

2008-11-17 A propos

Expose LDAP directories to the Semantic Web with SquirrelRDF

Tags:

2008-10-28 A propos

Semantic Web and uncertainty « Ivan’s private site

Tags:

2008-10-16 A propos

FAQ/CharacterEncoding - Tomcat Wiki

Tags:

2008-10-12 A propos

Java UTF–8 international character support with Tomcat and Oracle, 26/03/07, Kieran's blog

Tags:

2008-10-11 A propos

Tomcat - Bug 23929 – request.setCharacterEncoding(String) doesn't work

Tags:

2008-10-11 A propos

How to get international unicode characters from a a form input field/servlet parameter into a string?

Tags:

2008-10-11 A propos

Berlin SPARQL Benchmark V2 - Results for Sesame, Virtuoso, Jena TDB, D2R Server, and MySQL

Tags:

2008-09-24 A propos

Create Scalable Semantic Applications with Database-Backed RDF Stores

Tags:

2008-09-10 A propos

Jena Relational Database backend

Tags:

Jena and database

2008-09-10 A propos

Trice

Tags:

2008-09-09 A propos

Caching with Servlets

Tags:

2008-09-08 A propos

Virtuoso Jena Provider

Tags:

2008-08-28 A propos

Un moteur de transformation RDF basé sur SPARQL (2) « Leçons de Choses

Tags:

2008-08-27 A propos

DERI Pipes

Tags:

2008-08-18 A propos

SKOS and SWOOP: how - bobdc.blog

Tags:

2008-08-12 A propos

ARQ - Documentation and Resources

Tags:

ARQ

2008-08-11 A propos

Relational Database Integration with RDF/OWL

Tags:

2008-08-01 A propos

Semantic Search Arrives at the Web

Tags:

2008-07-19 A propos

alphaWorks : Scalable Highly Expressive Reasoner : Overview

Tags:

2008-07-19 A propos

ARQ: a question about property functions

Tags:

2008-07-14 A propos

Facebook | Find your path in the Labyrinth of Information!

Tags:

2008-07-14 A propos

Semanlink : Find your Path in the Labyrinth of Information - Dimitris' site

Tags:

2008-07-08 A propos

Lost Boy: Parameterised Queries with SPARQL and ARQ

Tags:

2008-07-06 A propos

Experiences with the conversion of SenseLab databases to RDF/OWL

Tags:

2008-06-12 A propos

Bibliographic Ontology Specification

Tags:

2008-06-04 A propos

Making the Web Searchable: The Story of SearchMonkey

Tags:

SearchMonkey

2008-06-04 A propos

HOW-TO: Debug JavaScript in Internet Explorer

Tags:

2008-06-04 A propos

Benlog » Why I’m switching to Yahoo Search

Tags:

2008-05-22 A propos

Manageability - Open Source Social Networking Applications Written in Java

Tags:

LinkTo Semanlink

2008-05-17 A propos

[Linking-open-data] Fw: linking geonames concepts to wikipedia and other concept

Tags:

2008-05-15 A propos

skos:Concept and "real world things"

Tags:

2008-05-15 A propos

Using tags for POWDER content labels

Tags:

2008-05-14 A propos

Topic: Concept Semantics -- Patterns for Working With SKOS and OWL

Tags:

2008-05-12 A propos

SkosDesign/ConceptSemantics - W3C Semantic Web Deployment Wiki

Tags:

Semantics of skos:Concept

2008-05-12 A propos

ISSUE-54 - SWD

Tags:

Semantics of skos:Concept

2008-05-12 A propos

SKOS Use Cases and Requirements

Tags:

2008-05-12 A propos

SKOS Reference

Tags:

2008-05-08 A propos

RESTful Web Services: the book

Tags:

2008-05-08 A propos

TagSoup home page

Tags:

2008-05-08 A propos

Networked Knowledge Organization Systems and Services | The 7th European Networked Knowledge Organization Systems (NKOS) Workshop

Tags:

2008-05-06 A propos

Uncertainty Reasoning for the World Wide Web

Tags:

2008-05-04 A propos

SitePoint Blogs » WWW2008 Beijing: Day 1 - Linked Data on the Web (LDOW 2008) Workshop

Tags:

2008-05-04 A propos

COMM: Core Ontology on Multimedia

Tags:

2008-04-23 A propos

Structured Objects in OWL: Representation and Reasoning. In Proc. of the 17th Int. World Wide Web Conference (WWW 2008), Beijing

Tags:

Very good presentation at WWW 2008. Nominated for the best paper award 
Abstract: Applications of semantic technologies often require the representation of and reasoning with structured objects—that is, objects composed of parts connected in complex ways. Although OWL is a general and powerful language, its class descriptions and axioms cannot be used to describe arbitrarily connected structures. An OWL representation of structured objects can thus be underconstrained, which reduces the inferences that can be drawn and causes performance problems in reasoning. To address these problems, we extend OWL with description graphs, which allow for the description of structured objects in a simple and precise way. To represent conditional aspects of the domain, we also allow for SWRL-like rules over description graphs. Based on an observation about the nature of structured objects, we ensure decidability of our formalism. We also present a hypertableau-based decision procedure, which we implemented in the HermiT reasoner. To evaluate its performance, we have extracted description graphs from the GALEN and FMA ontologies, classified them successfully, and even detected a modeling error in GALEN.

2008-04-23 A propos

RDFa Tutorial WWW2008 (demo files) - Elias Torres

Tags:

2008-04-21 A propos

W3C Semantic Web Activity News - Report of the “Uncertainty Reasoning for the World Wide Web” Incubator Group at W3C

Tags:

2008-04-17 A propos

12 Things You Should Know About REST and WOA

Tags:

2008-04-15 A propos

GRDDL in OwlSight | Thinking Clearly

Tags:

2008-04-11 A propos

Semanlink - semantische Bookmarks

Tags:

LinkTo Semanlink

2008-04-10 A propos

Developing Web 3.0 - JavaOne

Tags:

2008-04-08 A propos

Lost Boy: Writing an ARQ Extension Function

Tags:

2008-04-01 A propos

Demande 258: Patch for improved IE support - Tabulator Issue Tracker

Tags:

2008-04-01 A propos

XML processing in Ajax, Part 2: Two Ajax and XSLT approaches

Tags:

2008-03-18 A propos

Yahoo! Search Blog: The Yahoo! Search Open Ecosystem

Tags:

2008-03-17 A propos

Using JSON with Yahoo! Web Services

Tags:

2008-03-15 A propos

SKOS Simple Knowledge Organization System Primer

Tags:

2008-03-01 A propos

Social Book marking Script - Clones of Digg.com

Tags:

LinkTo Semanlink

2008-02-15 A propos

KartOO Métamoteur de recherche

Tags:

2008-02-15 A propos

Easy RDF and SPARQL for LAMP systems - ARC RDF Classes for PHP

Tags:

2008-02-04 A propos

Apple - Site Map (example of website with good hierarchy)

Tags:

2008-01-25 A propos

MyCarEvent - Terminology and Methodology for populating the generic information model

Tags:

MyCarEvent

2008-01-20 A propos

RDF Net API

Tags:

2008-01-09 A propos

UserRequirements - owl1-1 - Google Code

Tags:

2008-01-08 A propos

Joseki - A SPARQL Server for Jena

Tags:

Joseki

2008-01-04 A propos

ARQ - Querying Remote SPARQL Services

Tags:

2008-01-04 A propos

danbri’s foaf stories » Commandline PHP for loading RDF URLs into ARC (and Twinkle for query UI)

Tags:

2008-01-03 A propos

Ora Lassila - Programming Semantic Web Applications: A Synthesis of Knowledge Representation and Semi-Structured Data

Tags:

2008-01-01 A propos

semanlink 소개 - Mimul's Developer World

Tags:

LinkTo Semanlink

2007-12-30 A propos

Javascript RDF Parser in ie

Tags:

Javascript RDF Parser in IE

2007-12-17 A propos

"Mastering Ajax" - developerWorks : Web development : Technical library view

Tags:

2007-12-06 A propos

Migration d'applications d'Internet Explorer vers Mozilla - MDC

Tags:

2007-11-30 A propos

Alistair Miles » SKOS and RDFa in e-Learning

Tags:

2007-11-20 A propos

Re: More on distinguishing information resources from other resources Roy T. Fielding

Tags:

2007-11-20 A propos

Proverbes (site hyperSOLutions)

Tags:

2007-11-13 A propos

Nouveautés sur le site hyperSOLutions

Tags:

2007-11-13 A propos

Falcons

Tags:

2007-11-09 A propos

Ajax and XML: Ajax for media

Tags:

2007-11-08 A propos

SPARQL Explorer for http://dbpedia.org/sparql

Tags:

snorql

2007-10-13 A propos

MYCAREVENT: OWL and the automotive repair information supply chain - Proceedings of Extreme Markup Languages®

Tags:

MyCarEvent

2007-10-05 A propos

Music Ontology Specification

Tags:

2007-09-27 A propos

Aperture Framework

Tags:

2007-09-25 A propos

OWL 1.1 Web Ontology Language Overview

Tags:

OWL 1.1

2007-09-19 A propos

Submission Request to W3C: OWL 1.1 Web Ontology Language

Tags:

2007-09-19 A propos

OWL Web Ontology Language Guide

Tags:

2007-09-19 A propos

web - Tom Heath's Displacement Activities

Tags:

2007-09-18 A propos

Juan Sequeda - Meetings

Tags:

LinkTo Semanlink

2007-09-18 A propos

PanImages: cross-lingual image search

Tags:

2007-09-14 A propos

SCOT:Let’s Share Tags! » About SCOT

Tags:

2007-08-24 A propos

Applications Built on Jena - Tom Heath's Displacement Activities - by tomheath

Tags:

2007-08-22 A propos

OpenLink Ajax Toolkit (OAT) 2.6 Released!

Tags:

OpenLink Ajax Toolkit (OAT)

2007-08-06 A propos

bobdc.blog: Some great W3C explanations of basic ontology concepts

Tags:

2007-08-06 A propos

Cognitive Aspects of Semantic Desktop to Support PIM « Danzinde

Tags:

2007-08-01 A propos

CO-ODE

Tags:

2007-07-26 A propos

SKOS/Semantics - W3C Semantic Web Deployment Wiki

Tags:

2007-07-18 A propos

SKOS Extensions [RDF/OWL Description]

Tags:

2007-07-18 A propos

SKOS Mapping [RDF/OWL Description]

Tags:

SKOS

2007-07-18 A propos

Jena GRDDL Reader

Tags:

Jena GRDDL Reader

2007-07-17 A propos

NG4J - Named Graphs API for Jena

Tags:

NG4J

2007-07-13 A propos

"Semantic Web Technologies in Technical Automotive" - CEUR-WS.org/Vol-258 - OWL: Experiences and Directions 2007

Tags:

2007-07-13 A propos

CEUR-WS.org/Vol-258 - OWL: Experiences and Directions 2007

Tags:

OWLED 2007

2007-07-13 A propos

WordPress on Mac Part 1: PHP & MySQL All Forces

Tags:

2007-07-07 A propos

ARQ - SPARQL Tutorial

Tags:

2007-07-07 A propos

Restful semantic web services

Tags:

2007-07-04 A propos

Dave Brondsema's Blog - Javascript RDFParser from Tabulator

Tags:

2007-07-04 A propos

A use for embedded semantics? eRDF Link Preview Demo

Tags:

2007-07-03 A propos

SDB - Jena wiki

Tags:

SDB: A SPARQL Database for Jena

2007-07-02 A propos

P2NotesOwled2007 - owl1-1 - Google Code

Tags:

OWLED 2007 AND fps

2007-06-29 A propos

S1NotesOwled2007 - owl1-1 - Google Code

Tags:

OWLED 2007 AND fps

2007-06-29 A propos

owl1-1 - Google Code

Tags:

2007-06-27 A propos

OWLED 2007 - LeibnizWiki

Tags:

OWLED 2007 AND fps

2007-06-23 A propos

sindice

Tags:

sindice

2007-06-13 A propos

Structured Ontology Format

Tags:

2007-06-07 A propos

OWLED 2007 Program

Tags:

OWLED 2007

2007-06-04 A propos

RDFa Bookmarklets

Tags:

2007-05-31 A propos

RDFa support in Jena GRDDL Reader (SVN)

Tags:

2007-05-31 A propos

WWW Conference Exhibits

Tags:

2007-05-24 A propos

EasyChair. Login Page for OWLED 2007

Tags:

OWLED 2007

2007-05-05 A propos

jena-dev : Message: Re: [jena-dev] Checking URI validity before adding it to a model

Tags:

2007-04-25 A propos

TechnicaLee Speaking: Updates to sparql.js

Tags:

2007-04-20 A propos

TechnicaLee Speaking: SPARQL Calendar Demo: A SPARQL JavaScript Library

Tags:

2007-04-20 A propos

Search RDF data with SPARQL (and Jena)

Tags:

2007-04-20 A propos

ConTag A Tagging System: Linking the Semantic Desktop with Web 2.0

Tags:

2007-04-20 A propos

Folksonomies e tagging/3 « emmeesse

Tags:

LinkTo Semanlink

2007-04-03 A propos

Using those profiles

Tags:

2007-04-03 A propos

An OWL model for managing ontologies in the agricultural domain

Tags:

2007-04-02 A propos

W3C Uncertainty Reasoning for the World Wide Web Incubator Group

Tags:

2007-03-16 A propos

OWL: Experiences and Directions - OWLED 2007

Tags:

OWLED 2007

2007-03-04 A propos

Horst, Herman J. ter: Completeness, decidability and complexity of entailment for RDF Schema and a semantic extension involving the OWL vocabulary

Tags:

We prove that entailment for RDFS (RDF Schema) is decidable, NP-complete, and in P if the target graph does not contain blank nodes.We show that the standard set of entailment rules for RDFS is incomplete and that this can be corrected by allowing blank nodes in predicate position. We define semantic extensions of RDFS that involve datatypes and a subset of the OWL vocabulary that includes the property-related vocabulary (e.g. Functional- Property), the comparisons (e.g. sameAs and differentFrom) and the value restrictions (e.g. allValuesFrom). These semantic extensions are in line with the 'if-semantics' of RDFS and weaker than the 'iff-semantics' of D-entailment and OWL (DL or Full). For these semantic extensions we present entailment rules, prove completeness results, prove that consistency is in P and that, just as for RDFS, entailment is NP-complete, and in P if the target graph does not contain blank nodes. There are no restrictions on use to obtain decidability: classes can be used as instances.

2007-02-06 A propos

The Semantic Web: The Origins of Artificial Intelligence Redux

Tags:

Semantic web and AI

2007-02-06 A propos

A Semantic Web Primer for Object-Oriented Software Developers

Tags:

2007-02-06 A propos

AI3: Converting ‘Sweet Tools’ to an Exhibit

Tags:

2007-01-24 A propos

AI3’s Comprehensive Listing of Semantic Web and Related Tools

Tags:

2007-01-24 A propos

SKOS core (rdf file)

Tags:

SKOS

2007-01-19 A propos

Simple Knowledge Organisation Systems (SKOS) - home page

Tags:

2007-01-18 A propos

Stefano's Linotype ~ Folksologies: de-idealizing ontologies

Tags:

2007-01-09 A propos

Tag ontology RFC from Richard Newman on 2005-03-23 (semantic-web@w3.org from March 2005)

Tags:

2007-01-09 A propos

ThManager - metadata editor

Tags:

SKOS editor

2007-01-09 A propos

Redirect After Post

Tags:

2007-01-07 A propos

Tabulator: Generic data browser

Tags:

Tabulator

2007-01-06 A propos

RE: [VM] content-dependent redirects in apache ... help! from Miles, AJ $Alistair$ on 2005-10-03 (public-esw-thes@w3.org from October 2005)

Tags:

2007-01-03 A propos

HTTP behaviour for SKOS Concepts from Miles, AJ $Alistair$ on 2005-06-21 (public-esw-thes@w3.org from June 2005)

Tags:

2007-01-03 A propos

[httpRange-14] Resolved from Roy T. Fielding on 2005-06-19 (www-tag@w3.org from June 2005)

Tags:

2007-01-02 A propos

Tabulator: Exploring and Analyzing linked data on the Semantic Web

Tags:

Tabulator

2007-01-02 A propos

Fresnel - Display Vocabulary for RDF

Tags:

2007-01-02 A propos

Links on the Semantic Web

Tags:

2007-01-02 A propos

Piggy Bank - Home page

Tags:

Piggy Bank

2007-01-02 A propos

Reconciling concepts and relations in heterogeneous ontologies

Tags:

Ontology Mapping

2006-12-23 A propos

ProtegeWiki: Modeling Tips And Tricks

Tags:

2006-12-23 A propos

A Framework for Ontological Description of Archaeological Scientific Publications

Tags:

2006-12-23 A propos

SKOS Core Vocabulary Specification

Tags:

2006-12-23 A propos

semantic weltbild 2.0: PhD step2: the research question and how can I answer it (is it possible to write a PhD on gnowsis?)

Tags:

2006-12-23 A propos

Integrating Description Logics and Relational Databases

Tags:

2006-12-16 A propos

SIMILE | Exhibit

Tags:

SIMILE Exhibit

2006-12-11 A propos

Modeling Uncertainty in Semantic Web Taxonomies

Tags:

2006-12-06 A propos

On the properties of metamodeling in OWL

Tags:

Abstract: A common practice in conceptual modeling is to separate the intensional from the extensional model. Although very intuitive, this approach is inadequate for many complex domains, where the borderline between the two models is not clear-cut. Therefore, OWL-Full, the most expressive of the Semantic Web ontology languages, allows combining the intensional and the extensional model by a feature we refer to as metamodeling. In this paper, we show that the semantics of metamodeling adopted in OWL-Full leads to undecidability of basic inference problems, due to free mixing of logical and metalogical symbols. Based on this result, we propose two alternative semantics for metamodeling: the contextual and the HiLog semantics. We show that SHOIQ— a description logic underlying OWL-DL— extended with metamodeling under either semantics is decidable. Finally, we show how the latter semantics can be used in practice to axiomatize the logical interaction between concepts and metaconcepts.
 
Eagle is a type of RedListSpecies. Thus, RedListSpecies acts as a
metaconcept for Eagle
 
The examples such as the one given above are often dismissed with an argument that “eagle as a species” and “eagle as a set of all individual eagles”
are not the one and the same thing, and should not be referred to using the
same symbol...we simply observe that the word “eagle” in most people’s minds invokes a notion of a “mighty bird of prey.” The interpretation of
this notion as a concept or as an individual is secondary and is often context-dependent, so using different symbols for the same intuitive notion makes the
model unnecessarily complex.

2006-12-01 A propos

PR-OWL: A Bayesian Framework for the Semantic Web

Tags:

2006-11-07 A propos

Ivan's Blog : Workshop on Uncertainty Reasoning on the SW

Tags:

Uncertainty Reasoning AND Semantic Web

2006-11-07 A propos

Jena on Sourceforge

Tags:

2006-11-06 A propos

Javascript SPARQL editor

Tags:

2006-10-09 A propos

Lost Boy: Benefits of Refactoring to REST

Tags:

2006-10-09 A propos

delicious java API

Tags:

2006-09-25 A propos

Configuring Tomcat's URI encoding

Tags:

2006-09-12 A propos

PR-OWL: A Bayesian Ontology Language for the Semantic Web

Tags:

2006-09-07 A propos

The ultimate mashup -- Web services and the semantic Web

Tags:

2006-08-29 A propos

file to uri to file madness

Tags:

2006-08-23 A propos

Mashups: The new breed of Web app

Tags:

2006-08-19 A propos

International standard date and time notation

Tags:

2006-08-05 A propos

JavaScript RDF/XML Parser

Tags:

Javascript RDF Parser

2006-07-17 A propos

SkosDev - ESW Wiki

Tags:

2006-07-06 A propos

Ontologies@ Work -Experience from Automotive and Engineering Industry

Tags:

2006-06-28 A propos

Display XML with Cascading Stylesheets, Part 1: Use Cascading Stylesheets to display XML

Tags:

2006-06-25 A propos

Re: FW: draft findings on Unsafe Methods (whenToUseGet-7) from Roy T. Fielding on 2002-04-23

Tags:

2006-06-25 A propos

REST (slides)

Tags:

2006-06-25 A propos

Developing Ajax Applications That Preserve Standard Browser Functionality

Tags:

2006-06-20 A propos

RDF/OWL Representation of WordNet

Tags:

Wordnet

2006-06-19 A propos

Semanlink on Netvouz

Tags:

LinkTo Semanlink

2006-05-28 A propos

chillyinside.com » Blog Archive » 2006 Jena User Conference

Tags:

2006-05-26 A propos

Jena User Conference - some interesting UI related papers/presentations from Shabajee, Paul on 2006-05-17 (public-semweb-ui@w3.org from May 2006)

Tags:

2006-05-25 A propos

TechnicaLee Speaking: SPARQL Calendar Demo: A SPARQL JavaScript Library

Tags:

2006-05-22 A propos

Lost Boy: XTech 2006: SPARQLing Services

Tags:

2006-05-22 A propos

Google Web Toolkit - Build AJAX apps in the Java language

Tags:

2006-05-17 A propos

2006 Jena User Conference - proceedings

Tags:

Jena User Conference

2006-05-17 A propos

JUC day 1: photos

Tags:

Jena User Conference

2006-05-13 A propos

Peter Hale PhD Research - User Driven Programming

Tags:

2006-05-13 A propos

dowhatimean.net » [juc] François-Paul Servant – Semanlink

Tags:

2006-05-13 A propos

Semanlink on del.icio.us

Tags:

LinkTo Semanlink

2006-05-13 A propos

SourceForge.net: del.icio.us Java API

Tags:

2006-05-13 A propos

PIMO-a PIM Ontology for the Semantic Desktop

Tags:

PIMO

2006-05-10 A propos

BBC NEWS - Salvage prospect for 'junk' DNA

Tags:

2006-05-05 A propos

UMBC eBiquity - Publications - Probabilistic Framework for Semantic Web - OWL and Bayesian Networks

Tags:

2006-05-01 A propos

alphaWorks : IBM Web Ontology Manager

Tags:

2006-04-29 A propos

Lost Boy: 2006 Jena User Conference Programme

Tags:

2006-04-13 A propos

Jena User Conference - programme up

Tags:

2006-04-13 A propos

Burningbird » ‘allo Jena

Tags:

2006-04-13 A propos

2006 Jena User Conference - schedule

Tags:

Jena User Conference

2006-04-13 A propos

DEMO of the STITCH project ("Semantic Interoperability To access Cultural Heritage")

Tags:

The STITCH DEMO webserver demonstrates the added value of semantical integration of multiple collections. 
 
The collections that are linked by the prototype RDF Multi-Faceted-Search browser are the Rijksmuseum Masterpieces Collection (ARIA) and the Medieval Illuminated Manuscripts at the National Library of the Netherlands 
SKOS is used to enable mixing/merging of separate vocabularies:
Cultural-heritage collections are typically indexed with metadata derived from a range of different vocabularies, such as AAT, Iconclass and in-house standards. This presents a problem when one wants to use multiple collections in an interoperable way. In general, it is unrealistic to assume unification of vocabularies. Vocabularies have been developed in many sub-domains, each with their own emphasis and scope. Still, there is significant overlap between the vocabularies used for indexing. The prime research objective of this subproject is to develop theory, methods and tools for allowing metadata interoperability through semantic links between the vocabularies.

2006-04-07 A propos

ActiveRDF: object-oriented RDF in Ruby

Tags:

2006-04-04 A propos