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Sentence Embedding

20 papers with code · Methodology

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A Structured Self-attentive Sentence Embedding

9 Mar 2017facebookresearch/pytext

This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING SENTIMENT ANALYSIS

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

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

14 Sep 2017taoshen58/DiSAN

Recurrent neural nets (RNN) and convolutional neural nets (CNN) are widely used on NLP tasks to capture the long-term and local dependencies, respectively.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

ICCV 2015 soskek/bookcorpus

Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and how these states evolve through a story.

SENTENCE EMBEDDING

Sentence Embeddings in NLI with Iterative Refinement Encoders

27 Aug 2018Helsinki-NLP/HBMP

We can show that the sentence embeddings learned in this way can be utilized in a wide variety of transfer learning tasks, outperforming InferSent on 7 out of 10 and SkipThought on 8 out of 9 SentEval sentence embedding evaluation tasks.

NATURAL LANGUAGE INFERENCE SENTENCE EMBEDDING TRANSFER LEARNING

Dependency-based Convolutional Neural Networks for Sentence Embedding

IJCNLP 2015 cosmmb/DCNN

In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art results, but all such efforts process word vectors sequentially and neglect long-distance dependencies.

SENTENCE EMBEDDING

Word Mover's Embedding: From Word2Vec to Document Embedding

EMNLP 2018 IBM/WordMoversEmbeddings

While the celebrated Word2Vec technique yields semantically rich representations for individual words, there has been relatively less success in extending to generate unsupervised sentences or documents embeddings.

DOCUMENT EMBEDDING SENTENCE EMBEDDING TEXT CLASSIFICATION WORD EMBEDDINGS

Sentence Embedding Alignment for Lifelong Relation Extraction

NAACL 2019 hongwang600/Lifelong_Relation_Detection

We formulate such a challenging problem as lifelong relation extraction and investigate memory-efficient incremental learning methods without catastrophically forgetting knowledge learned from previous tasks.

RELATION EXTRACTION SENTENCE EMBEDDING