A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction

Suguru Matsuyoshi, Koji Murakami, Yuji Matsumoto, Kentaro Inui
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引用次数: 14

Abstract

In this paper, we present a database of logical relations between predicate argument structures (PASs) in Japanese for recognizing relations between statements. We have defined nine logical relations between PASs and manually collected argument structures and logical relations for verbs from definition sentences in a machine-readable Japanese dictionary. In addition, we augmented the relations in our database with a thesaurus of verb argument structures, which identifies synonymy and antonymy between PASs. Our database consists of 29,555 entries and 45,905 relations between PASs. In a preliminary experiment with this database, we constructed a system that recognizes synonymy between PASs in Web documents with a precision of about 0.80.
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一个用于文本蕴涵和矛盾识别的谓词论证结构关系数据库
在本文中,我们提出了一个日语谓词参数结构之间的逻辑关系数据库(PASs),用于识别语句之间的关系。我们已经定义了PASs和手动收集的参数结构之间的9个逻辑关系,以及机器可读日语字典中定义句子中的动词的逻辑关系。此外,我们用动词参数结构的同义词库扩展了数据库中的关系,该同义词库标识了PASs之间的同义词和反义词。我们的数据库包含29,555个条目和45,905个PASs之间的关系。在对该数据库的初步实验中,我们构建了一个系统,可以识别Web文档中PASs之间的同义词,准确率约为0.80。
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