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Sentence Embeddings

35 papers with code · Methodology

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Greatest papers with code

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

3 May 2018facebookresearch/InferSent

Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing.

SENTENCE CLASSIFICATION SENTENCE EMBEDDINGS

Universal Sentence Encoder

29 Mar 2018facebookresearch/InferSent

For both variants, we investigate and report the relationship between model complexity, resource consumption, the availability of transfer task training data, and task performance.

SEMANTIC TEXTUAL SIMILARITY SENTENCE EMBEDDINGS SENTIMENT ANALYSIS SUBJECTIVITY ANALYSIS TEXT CLASSIFICATION TRANSFER LEARNING WORD EMBEDDINGS

DisSent: Sentence Representation Learning from Explicit Discourse Relations

12 Oct 2017facebookresearch/InferSent

Learning effective representations of sentences is one of the core missions of natural language understanding.

DEPENDENCY PARSING SENTENCE EMBEDDINGS

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

15 Aug 2016facebookresearch/InferSent

The analysis sheds light on the relative strengths of different sentence embedding methods with respect to these low level prediction tasks, and on the effect of the encoded vector's dimensionality on the resulting representations.

SENTENCE EMBEDDING

Evaluation of sentence embeddings in downstream and linguistic probing tasks

16 Jun 2018allenai/bilm-tf

Despite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques.

LANGUAGE MODELLING SENTENCE EMBEDDING WORD EMBEDDINGS

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

HLT 2018 epfml/sent2vec

The recent tremendous success of unsupervised word embeddings in a multitude of applications raises the obvious question if similar methods could be derived to improve embeddings (i. e. semantic representations) of word sequences as well.

SENTENCE EMBEDDINGS WORD EMBEDDINGS

Joint Learning of Sentence Embeddings for Relevance and Entailment

WS 2016 brmson/dataset-sts

We consider the problem of Recognizing Textual Entailment within an Information Retrieval context, where we must simultaneously determine the relevancy as well as degree of entailment for individual pieces of evidence to determine a yes/no answer to a binary natural language question.

DECISION MAKING INFORMATION RETRIEVAL NATURAL LANGUAGE INFERENCE READING COMPREHENSION SENTENCE EMBEDDINGS

Learning Natural Language Inference with LSTM

HLT 2016 shuohangwang/SeqMatchSeq

On the SNLI corpus, our model achieves an accuracy of 86. 1%, outperforming the state of the art.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDINGS