mlsanityData to 7 Oct 2026

Citance-Contextualized Summarization of Scientific Papers

arXiv 2311.02408 ↗First posted 4 Nov 2023cs.CLcited by 4

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Abstract (arXiv)

Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relationship between a paper and the references cited in it. We propose a new contextualized summarization approach that can generate an informative summary conditioned on a given sentence containing the citation of a reference (a so-called "citance"). This summary outlines the content of the cited paper relevant to the citation location. Thus, our approach extracts and models the citances of a paper, retrieves relevant passages from cited papers, and generates abstractive summaries tailored to each citance. We evaluate our approach using Webis-Context-SciSumm-2023, a new dataset containing 540K~computer science papers and 4.6M~citances therein.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 21 of its 54 references that are in the map. First posted on arXiv 4 Nov 2023.

Builds on

21 of 54 references.

References · 21

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9 more
  1. 2019TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talkscited by 20
  2. 2018Incorporating Glosses into Neural Word Sense Disambiguationcited by 18
  3. 2017Scientific Article Summarization Using Citation-Context and Article's Discourse Structurecited by 17
  4. 2017Nematus: a Toolkit for Neural Machine Translationcited by 16
  5. 2022CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervisioncited by 15
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  7. 2023The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfacescited by 9
  8. 2017Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledgecited by 5
  9. 2022TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generationcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2025Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learningcited by 1
  2. 2024Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusioncited by 0
  3. 2025ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Linkscited by 0
  4. 2026SECite: Analyzing and Summarizing Citations in Software Engineering Literaturecited by 0