Kido, Hiroyuki ![]() ![]() |
Preview |
PDF
- Accepted Post-Print Version
Download (172kB) | Preview |
Official URL: https://www.aaai.org/ocs/index.php/KR/KR18/paper/v...
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: | Computer Science & Informatics |
Date of First Compliant Deposit: | 10 December 2019 |
Date of Acceptance: | 11 July 2018 |
Last Modified: | 19 May 2023 13:38 |
URI: | https://orca.cardiff.ac.uk/id/eprint/127445 |
Actions (repository staff only)
![]() |
Edit Item |