Sentence Summarization

13 papers with code · Natural Language Processing
Subtask of Text Summarization

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A Neural Attention Model for Abstractive Sentence Summarization

EMNLP 2015 tensorflow/models

Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build.

SENTENCE SUMMARIZATION

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

CONLL 2016 theamrzaki/text_summurization_abstractive_methods

In this work, we model abstractive text summarization using Attentional Encoder-Decoder Recurrent Neural Networks, and show that they achieve state-of-the-art performance on two different corpora.

ABSTRACTIVE TEXT SUMMARIZATION SENTENCE SUMMARIZATION

A Regularized Framework for Sparse and Structured Neural Attention

NeurIPS 2017 vene/sparse-structured-attention

Modern neural networks are often augmented with an attention mechanism, which tells the network where to focus within the input.

MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE SENTENCE SUMMARIZATION

Online and Linear-Time Attention by Enforcing Monotonic Alignments

ICML 2017 craffel/mad

Recurrent neural network models with an attention mechanism have proven to be extremely effective on a wide variety of sequence-to-sequence problems.

MACHINE TRANSLATION SENTENCE SUMMARIZATION SPEECH RECOGNITION

Data-driven Summarization of Scientific Articles

24 Apr 2018Santosh-Gupta/Arxiv-Manatee

Data-driven approaches to sequence-to-sequence modelling have been successfully applied to short text summarization of news articles.

SENTENCE SUMMARIZATION

Selective Encoding for Abstractive Sentence Summarization

ACL 2017 toru34/zhou_acl_2017

We propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization.

SENTENCE SUMMARIZATION

Contrastive Attention Mechanism for Abstractive Sentence Summarization

IJCNLP 2019 travel-go/Abstractive-Text-Summarization

We propose a contrastive attention mechanism to extend the sequence-to-sequence framework for abstractive sentence summarization task, which aims to generate a brief summary of a given source sentence.

ABSTRACTIVE TEXT SUMMARIZATION SENTENCE SUMMARIZATION

Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder

14 Sep 2018raphael-sch/SumVAE

In this work we present an unsupervised approach to summarize sentences in abstractive way using Variational Autoencoder (VAE).

UNSUPERVISED SENTENCE SUMMARIZATION