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Arxiv Doc - BERT - Clustering - Contrastive Learning - Data Augmentation - Document embeddings - Domain adaptation - Domain adaptation (NLP) - Embedding Model Fine-tuning - Entities - Few-shot learning - Few-shot text classification - Fine-tuning - GitHub project - Good - Hugging Face - huggingface / transformers - Information retrieval - Multilingual NLP - Neural Search - Nils Reimers - NLP: French - NLP@Facebook - NLP@Google - NLP@Microsoft - NLP@Princeton - Pinecone - Question Answering - Sample code - Sanjeev Arora - Semantic Search - Sentence Similarity - Siamese networks - Similarity queries / Vector search - Survey / Review - Synthetic Data - Text Classification - Text Similarity - Transfer learning - Transformers - Tweet - Unsupervised Domain Adaptation (NLP) - Unsupervised machine learning - Word embeddings -

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Sentence Embeddings

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37 Documents (Liste longue)

FlagOpen/FlagEmbedding: Dense Retrieval and Retrieval-augmented LLMs

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2024-02-03 A propos

Solon Embeddings - Ordalie

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2023-12-12 A propos

intfloat/e5-large-v2 · Hugging Face: Text Embeddings by Weakly-Supervised Contrastive Pre-training

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2023-10-13 A propos

skeskinen/bert.cpp: ggml implementation of BERT

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2023-05-09 A propos

[2202.08904] SGPT: GPT Sentence Embeddings for Semantic Search

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2023-04-25 A propos

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

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2023-02-17 A propos

[2104.08821] SimCSE: Simple Contrastive Learning of Sentence Embeddings

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2022-10-17 A propos

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

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2022-05-11 A propos

EASE: Entity-Aware Contrastive Learning of Sentence Embedding | Papers With Code

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2022-04-08 A propos

Thomas Müller sur Twitter : "paper & code of a novel light-weight few-shot model based on sentence embeddings..."

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2022-03-30 A propos

[2004.09813] Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

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2022-03-18 A propos

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

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2021-10-27 A propos

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

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2021-09-30 A propos

[2104.06979] TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

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> The most
successful previous approaches like InferSent (Conneau
et al., 2017), Universial Sentence Encoder
(USE) (Cer et al., 2018) and SBERT (Reimers and
Gurevych, 2019) heavily relied on labeled data to
train sentence embedding models.
>
> TSDAE can
achieve up to 93.1% of the performance of indomain
supervised approaches. Further, we
show that TSDAE is **a strong domain adaptation
and pre-training method for sentence
embeddings**, significantly outperforming other
approaches like Masked Language Model.

> During training, TSDAE
encodes corrupted sentences into fixed-sized
vectors and requires the decoder to reconstruct the
original sentences from this sentence embedding.

- <https://www.sbert.net/examples/unsupervised_learning/TSDAE/README.html>
- [github](https://github.com/UKPLab/sentence-transformers/tree/master/examples/unsupervised_learning/TSDAE)
- [UKPLab/sentence-transformers: Sentence Embeddings with BERT & XLNet](doc:2020/07/ukplab_sentence_transformers_s)
- [twitter](https://twitter.com/KexinWang2049/status/1433361957579538432):

> **TSDAE can learn domain-specific sentence embeddings with unlabeled sentences**
>
> Most importantly, instead of STS (Semantic Textual Similarity), **we suggest evaluating unsupervised sentence embeddings on the domain-specific tasks&datasets, which is the real use case for them**. Actually, STS scores do not correlate with performance on specific tasks.

2021-09-01 A propos

Nils Reimers sur Twitter : "How to train state-of-the-art sentence embeddings?"

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2021-06-22 A propos

Contrastive Representation Learning

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2021-06-04 A propos

Nandan Thakur sur Twitter : "how to create sentence-embeddings when little or zero in-domain training data is available"

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2021-06-03 A propos

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings - ACL Anthology (2018)

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2021-05-31 A propos

SimCSE: Simple Contrastive Learning of Sentence Embeddings

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2021-04-18 A propos

[1803.02893] An efficient framework for learning sentence representations

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2019-03-20 A propos

On sentence representations, pt. 1: what can you fit into a single #$!%@*&% blog post? · Supernatural Language Processing

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2018-11-27 A propos

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

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2018-11-10 A propos

Unsupervised Text Summarization using Sentence Embeddings

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2018-10-09 A propos

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline (Ethayarajh 2018)

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2018-10-08 A propos

[1810.00438] Parameter-free Sentence Embedding via Orthogonal Basis

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2018-10-06 A propos

[1704.05358] Representing Sentences as Low-Rank Subspaces

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2018-10-06 A propos

Simple and efficient semantic embeddings for rare words, n-grams, and language features – Off the convex path

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2018-09-18 A propos

what are the pros and cons of the various unsupervised word and sentence/ document embedding models? - Quora

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2018-08-19 A propos

Evaluation of sentence embeddings in downstream and linguistic probing tasks

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2018-06-27 A propos

Deep-learning-free Text and Sentence Embedding, Part 2 – Off the convex path

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2018-06-25 A propos

Deep-learning-free Text and Sentence Embedding, Part 1 – Off the convex path

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2018-06-25 A propos

[1806.06259] Evaluation of sentence embeddings in downstream and linguistic probing tasks

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2018-06-19 A propos

The Current Best of Universal Word Embeddings and Sentence Embeddings (2018)

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2018-05-30 A propos

Module google/universal-sentence-encoder | TensorFlow

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2018-05-23 A propos

A Simple but Tough-to-Beat Baseline for Sentence Embeddings (2017)

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2018-05-10 A propos

Context is Everything: Finding Meaning Statistically in Semantic Spaces (CS224n 2018)

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2018-04-05 A propos

[1607.01759] Bag of Tricks for Efficient Text Classification

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2017-09-10 A propos

Propriétés

sl:creationDate : 2018-05-10
sl:creationTime : 2018-05-10T17:13:58Z
rdf:type : sl:Tag
skos:prefLabel : Sentence Embeddings