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Generating a summary of a given sentence.

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Latest papers without code

Multi-Image Summarization: Textual Summary from a Set of Cohesive Images

15 Jun 2020

Multi-sentence summarization is a well studied problem in NLP, while generating image descriptions for a single image is a well studied problem in Computer Vision.

IMAGE CAPTIONING SENTENCE SUMMARIZATION

Quality of syntactic implication of RL-based sentence summarization

11 Dec 2019

Work on summarization has explored both reinforcement learning (RL) optimization using ROUGE as a reward and syntax-aware models, such as models those input is enriched with part-of-speech (POS)-tags and dependency information.

SENTENCE SUMMARIZATION

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

IJCNLP 2019

In this paper, we propose a novel approach to unsupervised sentence summarization by mapping the Information Bottleneck principle to a conditional language modelling objective: given a sentence, our approach seeks a compressed sentence that can best predict the next sentence.

ABSTRACTIVE TEXT SUMMARIZATION EXTRACTIVE SUMMARIZATION LANGUAGE MODELLING UNSUPERVISED SENTENCE SUMMARIZATION

Unsupervised Text Summarization via Mixed Model Back-Translation

22 Aug 2019

Back-translation based approaches have recently lead to significant progress in unsupervised sequence-to-sequence tasks such as machine translation or style transfer.

MACHINE TRANSLATION STYLE TRANSFER UNSUPERVISED SENTENCE SUMMARIZATION

Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models

ICLR 2019

Sequence to sequence (seq2seq) models have become a popular framework for neural sequence prediction.

MACHINE TRANSLATION SENTENCE SUMMARIZATION

Multi-Source Pointer Network for Product Title Summarization

21 Aug 2018

For the second constraint, we restore the key information by copying words from the knowledge encoder with the help of the soft gating mechanism.

SENTENCE SUMMARIZATION

Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

ACL 2018

Most previous seq2seq summarization systems purely depend on the source text to generate summaries, which tends to work unstably.

ABSTRACTIVE TEXT SUMMARIZATION SENTENCE SUMMARIZATION

Abstractive Document Summarization with a Graph-Based Attentional Neural Model

ACL 2017

Abstractive summarization is the ultimate goal of document summarization research, but previously it is less investigated due to the immaturity of text generation techniques.

ABSTRACTIVE TEXT SUMMARIZATION DOCUMENT SUMMARIZATION IMAGE CAPTIONING MACHINE TRANSLATION SENTENCE SUMMARIZATION TEXT GENERATION