Semanlink - Information retrieval ; Internet AND Dev

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Information retrieval ; Internet AND Dev

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55 Documents

Ask like a human: Implementing semantic search on Stack Overflow - Stack Overflow Blog

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2023-08-11 About

ChatGPT and Elasticsearch: A plugin to use ChatGPT with your Elastic data | Elastic Blog

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2023-07-07 About

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

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2023-04-15 About

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

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2023-04-13 About

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

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2022-11-08 About

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

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2022-08-20 About

Understanding Semantic Search and Question Answering | deepset

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2022-06-03 About

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

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2022-01-29 About

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

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2021-12-05 About

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

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2021-10-16 About

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

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2021-09-30 About

neuml/txtai: Build AI-powered semantic search applications

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txtai

2021-09-30 About

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

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2021-03-09 About

Exploration Engines - the koodos collective

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2020-12-10 About

Finding similar documents with transformers · Codegram

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2020-07-10 About

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

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2020-06-09 About

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

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2020-01-12 About

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

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2020-01-11 About

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

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2020-01-09 About

Elasticsearch RSS feed indexer with Spacy entity extraction

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2019-11-24 About

Building a Full-Text Search App Using Docker and Elasticsearch

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2019-11-10 About

Tutorial on Poincaré Embeddings (Jupyter Notebook )

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2018-05-20 About

Implementing Poincaré Embeddings | RARE Technologies

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2018-05-20 About

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

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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 About

[1710.04099] Wembedder: Wikidata entity embedding web service

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2018-02-13 About

gensim/WMD_tutorial.ipynb

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2017-12-23 About

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

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2017-11-25 About

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

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2017-10-23 About

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

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2017-09-26 About

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)

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2017-09-26 About

Document Similarity Analysis Using ElasticSearch and Python - Data Science Central

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2017-07-19 About

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

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2017-07-18 About

gensim/FastText_Tutorial.ipynb

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2017-06-28 About

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

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2017-06-09 About

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2017-06-09 About

gensim: models.word2vec – Deep learning with word2vec

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2017-06-01 About

Word2vec in gensim Tutorial | RaRe Technologies

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2017-06-01 About

Use Elasticsearch in your Java applications

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2017-05-15 About

Semantic search with NLP and elasticsearch - Stack Overflow

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2017-04-28 About

Locality-sensitive hashing - Elasticsearch - Stack Overflow

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2017-04-27 About

Jena Text

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2015-08-31 About

search - Solr vs. ElasticSearch - Stack Overflow

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2015-03-14 About

Thesaurus-augmented Search with Jena Text | ZBW Labs

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2013-08-12 About

Documentation/Product features - GoodRelations Wiki

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2012-11-12 About

An Illustrated Guide To E-Commerce Markup Using GoodRelations

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2012-10-13 About

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

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2012-05-10 About

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

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2012-05-10 About

Solr - OpenStructs TechWiki

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2012-05-10 About

Creating Domain-specific Products and Services Ontologies for GoodRelations

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2011-06-28 About

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

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2011-02-09 About

Using JSON with Yahoo! Web Services

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2008-03-15 About

Yahoo! Design Pattern Library

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2006-02-17 About

Yahoo! UI Library

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2006-02-17 About

Beating the Averages

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2005-11-24 About

hackdiary: Using Wikipedia and the Yahoo API to give structure to flat lists

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2005-09-05 About