Sentence Summarization
19 papers with code • 0 benchmarks • 0 datasets
Generating a summary of a given sentence.
Benchmarks
These leaderboards are used to track progress in Sentence Summarization
Most implemented papers
Positional Encoding to Control Output Sequence Length
takase/control-length
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NAACL 2019
Neural encoder-decoder models have been successful in natural language generation tasks.
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
KelleyYin/Cross-lingual-Summarization
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ACL 2019
But there is no cross-lingual parallel corpus, whose source sentence language is different to the summary language, to directly train a cross-lingual ASSUM system.
Simple Unsupervised Summarization by Contextual Matching
jzhou316/Unsupervised-Sentence-Summarization
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ACL 2019
We propose an unsupervised method for sentence summarization using only language modeling.
Contrastive Attention Mechanism for Abstractive Sentence Summarization
travel-go/Abstractive-Text-Summarization
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IJCNLP 2019
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.
All Word Embeddings from One Embedding
takase/alone_seq2seq
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NeurIPS 2020
The proposed method, ALONE (all word embeddings from one), constructs the embedding of a word by modifying the shared embedding with a filter vector, which is word-specific but non-trainable.
Controllable Abstractive Sentence Summarization with Guiding Entities
thecharm/abs-lrmodel
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COLING 2020
Entities are the major proportion and build up the topic of text summaries.
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
manga-uofa/nacc
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Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation.
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Text summarization aims to generate a short summary for an input text.
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
dmhyun/msrp
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We formulate the unsupervised summarization based on the Markov decision process with rewards representing the summary quality.
