Comparative Graph-based Summarization of Scientific Papers Guided by Comparative Citations

Jingqiang Chen, Chaoxiang Cai, Xiaorui Jiang, Kejia Chen

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

With the rapid growth of scientific papers, understanding the changes and trends in a research area is rather time-consuming. The first challenge is to find related and comparable articles
for the research. Comparative citations compare co-cited papers in a citation sentence and can serve as good guidance for researchers to track a research area. We thus go through
comparative citations to find comparable objects and build a comparative scientific summarization corpus (CSSC). And then, we propose the comparative graph-based summarization
(CGSUM) method to create comparative summaries using citations as guidance. The comparative graph is constructed using sentences as nodes and three different relationships of sentences
as edges. The relationship that sentences occur in the same paper is used to calculate the salience of sentences, the relationship that sentences occur in two different papers is used to calculate the difference between sentences, and the relationship that sentences are related to citations is used to calculate the commonality of
sentences. Experiments show that CGSUM outperforms
comparative baselines on CSSC and performs well on DUC2006 and DUC2007.
Original languageEnglish
Title of host publicationProceedings of the 29th International Conference on Computational Linguistics (COLING'22)
PublisherACL (Association for Computational Linguistics)
Pages5978–5988
Number of pages11
Publication statusAccepted/In press - 18 Aug 2022
Event29th International Conference on Computational Linguistics - Gyeongju, Korea, Republic of
Duration: 12 Oct 202217 Oct 2022
Conference number: 29
https://coling2022.org/

Conference

Conference29th International Conference on Computational Linguistics
Abbreviated titlecoling 2022
Country/TerritoryKorea, Republic of
CityGyeongju
Period12/10/2217/10/22
Internet address

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