Citance-Contextualized Summarization of Scientific Papers
Shahbaz Syed, Ahmad Hakimi, Khalid Al‐Khatib, Martin Potthast · 2023
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. 1 2