Bayesian Model Selection in Statistical Construction of Justification

被引：0

作者：

Kido, Hiroyuki ^{[1
]}

机构：

[1] Sun Yat Sen Univ, Inst Log & Cognit, 135 Xingang Xi Rd, Guangzhou 510275, Guangdong, Peoples R China

来源：

SIXTEENTH INTERNATIONAL CONFERENCE ON PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING | 2018年

基金：

中国国家社会科学基金;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：647 / 648

页数：2

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