Exploring Reasoning Schemes: A Dataset for Syllogism Figure Identification

被引:0
|
作者
Peng, Shiya [1 ]
Liu, Lu [1 ]
Liu, Chang [1 ]
Yu, Dong [1 ]
机构
[1] Beijing Language & Culture Univ, Beijing, Peoples R China
来源
关键词
Syllogism figure; Enthymeme reconstruction; Reasoning scheme; FRAMEWORK;
D O I
10.1007/978-3-030-81197-6_37
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Argument mining aims at extracting structured arguments from texts. Both argument schemes and their structures are studied. A syllogism is a traditional argument scheme and its figures are important in classical logic. Existing research has not yet investigated syllogism figures. Here, we fill this gap by presenting a study on automatic identification of syllogism figures. We prepared a novel dataset of 8.6k syllogisms. We annotated their figures and carried out identification tasks using both supervised and weakly-supervised approaches. Experimental results show that both approaches are adequate.
引用
收藏
页码:445 / 451
页数:7
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