A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction
A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction
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用于识别文本蕴涵和矛盾的谓词论证结构之间的关系数据库
DOI：
10.1109/isuc.2008.31
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Kentaro Inui
中科院分区：
文献类型：
--
作者：
Suguru Matsuyoshi;Koji Murakami;Yuji Matsumoto;Kentaro Inui
在本文中，我们提出了一个数据库的谓词论元结构（PAS）之间的逻辑关系，在日语中识别语句之间的关系。我们已经定义了九个PAS之间的逻辑关系和手动收集的论点结构和逻辑关系的动词从定义句子中的机器可读的日语词典。此外，我们增加了我们的数据库中的关系与动词论元结构的词库，它确定PAS之间的同义词和反义词。我们的数据库包括29，555个条目和PAS之间的45，905个关系。在这个数据库的初步实验中，我们构建了一个系统，识别PAS在Web文档中的同义关系，精度约为0.80。
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.