[2311.02408] Citance-Contextualized Summarization of Scientific Papers
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Computer Science > Computation and Language

arXiv:2311.02408 (cs)
[Submitted on 4 Nov 2023 (v1), last revised 13 Nov 2023 (this version, v3)]

Title:Citance-Contextualized Summarization of Scientific Papers

Authors:Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib, Martin Potthast
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Abstract: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 $\textbf{Webis-Context-SciSumm-2023}$, a new dataset containing 540K~computer science papers and 4.6M~citances therein.
Comments: Accepted at EMNLP 2023 Findings
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2311.02408 [cs.CL]
  (or arXiv:2311.02408v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2311.02408

Submission history

From: Shahbaz Syed [view email]
[v1] Sat, 4 Nov 2023 14:08:15 UTC (447 KB)
[v2] Thu, 9 Nov 2023 09:23:31 UTC (531 KB)
[v3] Mon, 13 Nov 2023 08:40:04 UTC (448 KB)
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