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.
@article{arxiv.2311.02408,
title = {Citance-Contextualized Summarization of Scientific Papers},
author = {Shahbaz Syed and Ahmad Dawar Hakimi and Khalid Al-Khatib and Martin Potthast},
journal= {arXiv preprint arXiv:2311.02408},
year = {2023}
}