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arXiv · 2311.02408

Citance-Contextualized Summarization of Scientific Papers

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.

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Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib, Martin Potthast. 2023-11-04. Citance-Contextualized Summarization of Scientific Papers. https://arxiv.org/abs/2311.02408

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