Towards explaining natural language arguments with background knowledge

Hulpus, Ioana ; Kobbe, Jonathan ; Becker, Maria ; Opitz, Juri ; Hirst, Graeme ; Meilicke, Christian ; Nastase, Vivi ; Stuckenschmidt, Heiner ; Frank, Anette

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Document Type: Conference or workshop publication
Year of publication: 2019
Book title: PROFILES-SEMEX 2019 : Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-loc. with 18th International Semantic Web Conference (ISWC 2019) Auckland, NZ, Oct. 27, 2019
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2465
Page range: 62-77
Conference title: 1st Workshop on Semantic Explainability
Location of the conference venue: Auckland, New Zealand
Date of the conference: 27.10.2019
Publisher: Demidova, Elena
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: In this paper, we propose the task of argument explicitation, a task that makes the structure of a natural language argument explicit, as well as the background knowledge the argument is built on, in the form of implicit premises or contextual knowledge. The purpose of argument explicitation is to support the understanding of an argument by providing users with an end-to-end analysis that offers a critical assessment of arguments including identification of argument weaknesses. Besides, the results of the argument explicitation process can be used by machines to retrieve similar arguments as well as counter-arguments. We propose a framework for argumentation mining sub-tasks that by now have mostly been treated separately in the literature. We identify the challenves this task entails, while at the same time highlighting the opportunities brought by the recent development of structured, external knowledge sources.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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