Extractive Text Summarization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

5 datasets whose archive record lists this task, ordered by the archive's paper count.

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

30 shown of 34 papers with code (95 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.

• Get To The Point: Summarization with Pointer-Generator Networks
  14 Apr 2017 39 repositories listed Syntology ran 30 of 64 samples · 34 unverified · 44 pointer-only (licence)
  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).
• Text Summarization with Pretrained Encoders
  22 Aug 2019 19 repositories listed Syntology ran 7 of 21 samples · 14 unverified
  For abstractive summarization, we propose a new fine-tuning schedule which adopts different optimizers for the encoder and the decoder as a means of alleviating the mismatch between the two (the former is pretrained…
• Efficient Attention: Attention with Linear Complexities
  4 Dec 2018 14 repositories listed Syntology ran 7 of 8 samples · 1 unverified · 1 pointer-only (licence)
  Dot-product attention has wide applications in computer vision and natural language processing.
• Fine-tune BERT for Extractive Summarization
  25 Mar 2019 12 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  BERT, a pre-trained Transformer model, has achieved ground-breaking performance on multiple NLP tasks.
• Leveraging BERT for Extractive Text Summarization on Lectures
  7 Jun 2019 8 repositories listed
  This 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…
• A Neural Attention Model for Abstractive Sentence Summarization
  2 Sep 2015 4 repositories listed
  Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build.
• DebateSum: A large-scale argument mining and summarization dataset
  14 Nov 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Finally, we present a search engine for this dataset which is utilized extensively by members of the National Speech and Debate Association today.
• AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
  13 Apr 2020 3 repositories listed
  Redundancy-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.
• Align and Attend: Multimodal Summarization with Dual Contrastive Losses
  13 Mar 2023 2 repositories listed
  The goal of multimodal summarization is to extract the most important information from different modalities to form output summaries.
• CX DB8: A queryable extractive summarizer and semantic search engine
  7 Dec 2020 2 repositories listed
  Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production.
• Screenplay Summarization Using Latent Narrative Structure
  27 Apr 2020 2 repositories listed
  Most general-purpose extractive summarization models are trained on news articles, which are short and present all important information upfront.
• Extractive Summarization as Text Matching
  19 Apr 2020 2 repositories listed
  This paper creates a paradigm shift with regard to the way we build neural extractive summarization systems.
• Searching for Effective Neural Extractive Summarization: What Works and What's Next
  8 Jul 2019 2 repositories listed
  The recent years have seen remarkable success in the use of deep neural networks on text summarization.
• TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection
  20 Feb 2018 2 repositories listed
  Detecting novelty of an entire document is an Artificial Intelligence (AI) frontier problem that has widespread NLP applications, such as extractive document summarization, tracking development of news events,…
• Centroid-based Text Summarization through Compositionality of Word Embeddings
  1 Apr 2017 2 repositories listed
  The textual similarity is a crucial aspect for many extractive text summarization methods.
• A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization
  26 Nov 2024 1 repository listed
  Here, we propose a novel Word pair-based Gaussian Sentence Similarity (WGSS) algorithm for calculating the semantic relation between two sentences.
• Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model
  25 May 2023 1 repository listed
  Outcomes validate that our proposed model shows greatly enhanced performance as compared to the existent unsupervised state-of-the-art approaches.
• GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERT
  1 Oct 2022 1 repository listed
  In this paper, we develop a Graph-Based Unsupervised Summarization(GUSUM) method for extractive text summarization based on the principle of including the most important sentences while excluding sentences with similar…
• IDN-Sum: A New Dataset for Interactive Digital Narrative Extractive Text Summarisation
  1 Oct 2022 1 repository listed
  In this paper, we describe the first IDN dataset (IDN-Sum) designed specifically for training and testing IDN text summarization algorithms.
• MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
  19 Jul 2021 1 repository listed
  We introduce MemSum (Multi-step Episodic Markov decision process extractive SUMmarizer), a reinforcement-learning-based extractive summarizer enriched at each step with information on the current extraction history.
• Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
  16 Oct 2020 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  We also find in experiments that our model is less dependent on sentence positions.
• Heterogeneous Graph Neural Networks for Extractive Document Summarization
  26 Apr 2020 1 repository listed
  An intuitive way is to put them in the graph-based neural network, which has a more complex structure for capturing inter-sentence relationships.
• Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence Position
  4 Dec 2019 1 repository listed
  Multi-document summarization is more challenging than single-document summarization since it has to solve the problem of overlapping information among sentences from different documents.
• Reading Like HER: Human Reading Inspired Extractive Summarization
  1 Nov 2019 1 repository listed
  In this work, we re-examine the problem of extractive text summarization for long documents.
• Discourse-Aware Neural Extractive Text Summarization
  30 Oct 2019 1 repository listed Syntology ran 1 of 11 samples · 10 unverified
  Recently BERT has been adopted for document encoding in state-of-the-art text summarization models.
• STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
  16 Jul 2019 1 repository listed
  Our method creates an extractive summary by selecting the sentences with the closest embeddings to the document embedding.
• Neural Extractive Text Summarization with Syntactic Compression
  3 Feb 2019 1 repository listed
  In this work, we present a neural model for single-document summarization based on joint extraction and syntactic compression.
• DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
  6 Nov 2018 1 repository listed
  We propose DeepChannel, a robust, data-efficient, and interpretable neural model for extractive document summarization.
• Iterative Document Representation Learning Towards Summarization with Polishing
  27 Sep 2018 1 repository listed
  In this paper, we introduce Iterative Text Summarization (ITS), an iteration-based model for supervised extractive text summarization, inspired by the observation that it is often necessary for a human to read an…
• BanditSum: Extractive Summarization as a Contextual Bandit
  25 Sep 2018 1 repository listed
  In this work, we propose a novel method for training neural networks to perform single-document extractive summarization without heuristically-generated extractive labels.

Syntology lines on 7 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.