Browse State-of-the-Art › Sentence Summarization
Sentence Summarization
19 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Generating a summary of a given sentence.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
19 shown of 19 papers with code (44 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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19 Feb 2016 4 repositories listed Syntology ran 5 of 6 samples · 1 unverifiedIn 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.
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2 Sep 2015 4 repositories listedSummarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build.
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24 Apr 2018 3 repositories listedData-driven approaches to sequence-to-sequence modelling have been successfully applied to short text summarization of news articles.
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22 May 2017 3 repositories listedModern neural networks are often augmented with an attention mechanism, which tells the network where to focus within the input.
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6 Jan 2021 2 repositories listedCurrently, there are over 3, 000 emojis in the Unicode standard.
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4 May 2020 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information.
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24 Apr 2017 2 repositories listedWe propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization.
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3 Apr 2017 2 repositories listedRecurrent neural network models with an attention mechanism have proven to be extremely effective on a wide variety of sequence-to-sequence problems.
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21 Dec 2022 1 repository listedWe formulate the unsupervised summarization based on the Markov decision process with rewards representing the summary quality.
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28 May 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)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.
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28 May 2022 1 repository listedText summarization aims to generate a short summary for an input text.
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1 Dec 2020 1 repository listedEntities are the major proportion and build up the topic of text summaries.
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25 Apr 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedThe 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.
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29 Oct 2019 1 repository listedWe 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.
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31 Jul 2019 1 repository listedWe propose an unsupervised method for sentence summarization using only language modeling.
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Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention1 Jul 2019 1 repository listedBut 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.
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16 Apr 2019 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedNeural encoder-decoder models have been successful in natural language generation tasks.
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14 Sep 2018 1 repository listedIn this work we present an unsupervised approach to summarize sentences in abstractive way using Variational Autoencoder (VAE).
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6 Jul 2018 1 repository listedCopying mechanism shows effectiveness in sequence-to-sequence based neural network models for text generation tasks, such as abstractive sentence summarization and question generation.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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