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Bayesian model selection in statistical construction of justification

Kido, Hiroyuki ORCID: 2018. Bayesian model selection in statistical construction of justification. Presented at: Sixteenth International Conference on Principles of Knowledge Representation and Reasoning, Tempe, Arizona (USA), 27 October - 2 November 2018. -.

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Argumentation mining involves identification of an attack relation between natural language sentences. Bayesian inference characterizing argument-based reasoning addresses this issue by calculating the posterior distribution over attack relations given acceptability statuses of arguments. This paper discusses the use of Bayesian model selection where graph-theoretic properties impose restrictions on the graphic structure of attack relations.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: In Press
Schools: Computer Science & Informatics
Date of First Compliant Deposit: 10 December 2019
Date of Acceptance: 11 July 2018
Last Modified: 19 May 2023 13:38

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