Unsupervised Extractive Summarization

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

4 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

18 shown of 18 papers with code (30 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.

• A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
  16 Apr 2018 3 repositories listed Syntology ran 1 of 14 samples · 13 unverified
  Neural abstractive summarization models have led to promising results in summarizing relatively short documents.
• Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
  16 May 2024 2 repositories listed
  We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches.
• Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
  31 May 2021 2 repositories listed
  Faceted summarization provides briefings of a document from different perspectives.
• Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
  29 Oct 2023 1 repository listed
  Pre-trained sentence representations are crucial for identifying significant sentences in unsupervised document extractive summarization.
• Unsupervised Extractive Summarization of Emotion Triggers
  2 Jun 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Second, we develop new unsupervised learning models that can jointly detect emotions and summarize their triggers.
• XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
  22 Mar 2023 1 repository listed
  But, for low-resource languages, the scarcity of reference articles makes monolingual summarization ineffective in solving this problem.
• Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
  24 Feb 2023 1 repository listed
  Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data.
• Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions
  6 Nov 2022 1 repository listed
  Though many algorithms can be used to automatically summarize legal case decisions, most fail to incorporate domain knowledge about how important sentences in a legal decision relate to a representation of its document…
• On the Trade-off between Redundancy and Local Coherence in Summarization
  20 May 2022 1 repository listed
  Extractive summaries are usually presented as lists of sentences with no expected cohesion between them and with plenty of redundant information if not accounted for.
• TWEETSUMM -- A Dialog Summarization Dataset for Customer Service
  23 Nov 2021 1 repository listed
  In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, usually for the benefit of other agents that may have to deal with the same…
• Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
  1 Aug 2021 1 repository listed
  Our explainability study demonstrates the superiority of and preference for summary-level explanations over other explanation types.
• Unsupervised Extractive Summarization using Pointwise Mutual Information
  11 Feb 2021 1 repository listed
  Unsupervised approaches to extractive summarization usually rely on a notion of sentence importance defined by the semantic similarity between a sentence and the document.
• Unsupervised Abstractive Summarization of Bengali Text Documents
  26 Jan 2021 1 repository listed
  We also provide a human-annotated dataset with document-summary pairs to evaluate our abstractive model and to support the comparison of future abstractive summarization systems of the Bengali Language.
• 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.
• Discourse-Aware Unsupervised Summarization of Long Scientific Documents
  1 May 2020 1 repository listed
  We propose an unsupervised graph-based ranking model for extractive summarization of long scientific documents.
• Sentence Centrality Revisited for Unsupervised Summarization
  8 Jun 2019 1 repository listed
  Single document summarization has enjoyed renewed interests in recent years thanks to the popularity of neural network models and the availability of large-scale datasets.
• Plain English Summarization of Contracts
  2 Jun 2019 1 repository listed
  We propose the task of summarizing such legal documents in plain English, which would enable users to have a better understanding of the terms they are accepting.
• Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
  1 Sep 2017 1 repository listed
  We present a fully unsupervised, extractive text summarization system that leverages a submodularity framework introduced by past research.

Syntology lines on 3 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.