Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead

Khalid Al-Khatib, Tirthankar Ghosal, Yufang Hou, Anita De Waard, Dayne Freitag

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

12 Scopus citations

Abstract

Argument mining targets structures in natural language related to interpretation and persuasion. Most scholarly discourse involves interpreting experimental evidence and attempting to persuade other scientists to adopt the same conclusions, which could benefit from argument mining techniques. However, While various argument mining studies have addressed student essays and news articles, those that target scientific discourse are still scarce. This paper surveys existing work in argument mining of scholarly discourse, and provides an overview of current models, data, tasks, and applications. We identify a number of key challenges confronting argument mining in the scientific domain, and suggest some possible solutions and future directions.

Original languageEnglish
Title of host publication2nd Workshop on Scholarly Document Processing, SDP 2021 - Proceedings of the Workshop
EditorsIz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Keith Hall, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer, Anita de Waard, Kuansan Wang, Lucy Lu Wang
PublisherAssociation for Computational Linguistics (ACL)
Pages56-65
Number of pages10
ISBN (Electronic)9781954085282
StatePublished - 2021
Externally publishedYes
Event2nd Workshop on Scholarly Document Processing, SDP 2021 - Virtual, Online
Duration: Jun 10 2021 → …

Publication series

Name2nd Workshop on Scholarly Document Processing, SDP 2021 - Proceedings of the Workshop

Conference

Conference2nd Workshop on Scholarly Document Processing, SDP 2021
CityVirtual, Online
Period06/10/21 → …

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