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Abstractive Text Summarization

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

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Pay Less Attention with Lightweight and Dynamic Convolutions

ICLR 2019 pytorch/fairseq

We predict separate convolution kernels based solely on the current time-step in order to determine the importance of context elements.

ABSTRACTIVE TEXT SUMMARIZATION LANGUAGE MODELLING MACHINE TRANSLATION

Classical Structured Prediction Losses for Sequence to Sequence Learning

HLT 2018 pytorch/fairseq

There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning-style methods or by optimizing the beam.

ABSTRACTIVE TEXT SUMMARIZATION MACHINE TRANSLATION STRUCTURED PREDICTION

Get To The Point: Summarization with Pointer-Generator Networks

ACL 2017 abisee/pointer-generator

Neural sequence-to-sequence models have provided a viable new approach for abstractive text summarization (meaning they are not restricted to simply selecting and rearranging passages from the original text).

ABSTRACTIVE TEXT SUMMARIZATION

Deep Reinforcement Learning For Sequence to Sequence Models

24 May 2018yaserkl/RLSeq2Seq

In this survey, we consider seq2seq problems from the RL point of view and provide a formulation combining the power of RL methods in decision-making with sequence-to-sequence models that enable remembering long-term memories.

ABSTRACTIVE TEXT SUMMARIZATION DECISION MAKING MACHINE TRANSLATION

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting

ACL 2018 ChenRocks/fast_abs_rl

Inspired by how humans summarize long documents, we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively (i. e., compresses and paraphrases) to generate a concise overall summary.

ABSTRACTIVE TEXT SUMMARIZATION

Global Encoding for Abstractive Summarization

ACL 2018 lancopku/Global-Encoding

To tackle the problem, we propose a global encoding framework, which controls the information flow from the encoder to the decoder based on the global information of the source context.

ABSTRACTIVE TEXT SUMMARIZATION

A Deep Reinforced Model for Abstractive Summarization

ICLR 2018 oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION

We introduce a neural network model with a novel intra-attention that attends over the input and continuously generated output separately, and a new training method that combines standard supervised word prediction and reinforcement learning (RL).

ABSTRACTIVE TEXT SUMMARIZATION

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

NAACL 2019 ctr4si/MMN

We address the problem of abstractive summarization in two directions: proposing a novel dataset and a new model.

ABSTRACTIVE TEXT SUMMARIZATION

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

5 Dec 2018tshi04/NATS

As part of this survey, we also develop an open source library, namely Neural Abstractive Text Summarizer (NATS) toolkit, for the abstractive text summarization.

ABSTRACTIVE TEXT SUMMARIZATION LANGUAGE MODELLING MACHINE TRANSLATION