Bayesian model selection in statistical construction of justification

Kido, Hiroyuki ORCID: https://orcid.org/0000-0002-7622-4428 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. -.

Preview

PDF - Accepted Post-Print Version Download (172kB) | Preview

Abstract

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:	Schools > Computer Science & Informatics
Date of First Compliant Deposit:	10 December 2019
Date of Acceptance:	11 July 2018
Last Modified:	19 Oct 2025 12:28
URI:	https://orca.cardiff.ac.uk/id/eprint/127445

Actions (repository staff only)

Edit Item