Browse State-of-the-Art › Extractive Summarization
Extractive Summarization
114 papers with code · 0 benchmarks · 3 datasets 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
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 114 papers with code (315 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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25 Mar 2019 12 repositories listed Syntology ran 2 of 5 samples · 3 unverifiedBERT, a pre-trained Transformer model, has achieved ground-breaking performance on multiple NLP tasks.
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7 Jun 2019 8 repositories listedThis paper reports on the project called Lecture Summarization Service, a python based RESTful service that utilizes the BERT model for text embeddings and KMeans clustering to identify sentences closes to the centroid…
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14 Nov 2016 7 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedWe present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art.
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30 Jan 2018 4 repositories listedWe show that generating English Wikipedia articles can be approached as a multi- document summarization of source documents.
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13 Apr 2020 3 repositories listedRedundancy-aware extractive summarization systems score the redundancy of the sentences to be included in a summary either jointly with their salience information or separately as an additional sentence scoring step.
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16 May 2024 2 repositories listedWe present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches.
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3 May 2024 2 repositories listedWe show that the estimated upper bound for extractive summarization increases by 217% in the ROUGE-2 score, when using full content instead of abstracts.
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20 May 2023 2 repositories listed Syntology ran 5 of 17 samples · 12 unverified · 17 pointer-only (licence)Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks.
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31 Jan 2021 2 repositories listedExtractive summarization suffers from irrelevance, redundancy and incoherence.
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7 Dec 2020 2 repositories listedCompetitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production.
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27 Apr 2020 2 repositories listedMost general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.
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19 Apr 2020 2 repositories listedThis paper creates a paradigm shift with regard to the way we build neural extractive summarization systems.
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8 Jul 2019 2 repositories listedThe recent years have seen remarkable success in the use of deep neural networks on text summarization.
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11 Jun 2019 2 repositories listedExisting models for extractive summarization are usually trained from scratch with a cross-entropy loss, which does not explicitly capture the global context at the document level.
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15 Aug 2017 2 repositories listedWe are exploring various features to improve the set of sentences selected for the summary, and are using a Restricted Boltzmann Machine to enhance and abstract those features to improve resultant accuracy without…
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26 Apr 2017 2 repositories listedAbstractive summarization aims to generate a shorter version of the document covering all the salient points in a compact and coherent fashion.
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14 Apr 2017 2 repositories listedMost extractive summarization methods focus on the main body of the document from which sentences need to be extracted.
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8 Apr 2025 1 repository listedKey features of SafeChat include: (a) safety, with a domain-agnostic design where responses are grounded and traceable to approved sources (provenance), and 'do-not-respond' strategies to prevent harmful answers; (b)…
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22 Feb 2025 1 repository listedOrderSum proposes a new representation method to incorporate the sentence order into the embedding of the extractive summary, and an objective function to train the model to identify which extractive summary has a…
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26 Nov 2024 1 repository listedHere, we propose a novel Word pair-based Gaussian Sentence Similarity (WGSS) algorithm for calculating the semantic relation between two sentences.
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23 Nov 2024 1 repository listedSequential sentence classification (SSC) in scientific publications is crucial for supporting downstream tasks such as fine-grained information retrieval and extractive summarization.
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12 Nov 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)This work highlights the importance of fairness in summarization and sets a benchmark for future research in fairness-aware NLP models.
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5 Jul 2024 1 repository listedMotivated by this, we propose a systematically created human-annotated dataset consisting of coherent summaries for five publicly available datasets and natural language user feedback, offering valuable insights into…
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5 Jun 2024 1 repository listedSelecting which claims to check is a time-consuming task for human fact-checkers, especially from documents consisting of multiple sentences and containing multiple claims.
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16 May 2024 1 repository listedThe long input hinders the simultaneous effective modeling of both global high-order relations between sentences and local intra-sentence relations which is the most critical step in extractive summarization.
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4 Apr 2024 1 repository listedTo address this gap our paper introduces HunSum-2 an open-source Hungarian corpus suitable for training abstractive and extractive summarization models.
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19 Mar 2024 1 repository listedIn this study, we investigate the performance of document truncation and summarization in text classification tasks.
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21 Jan 2024 1 repository listedThis study tackles the challenges associated with interpreting Application Programming Interface (API) documentation, an integral aspect of software development.
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16 Jan 2024 1 repository listedIn this work, we study the task of extractive opinion summarization in an incremental setting, where the underlying review set evolves over time.
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29 Oct 2023 1 repository listedPre-trained sentence representations are crucial for identifying significant sentences in unsupervised document extractive summarization.
Syntology lines on 4 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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