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

Suguru Matsuyoshi, Koji Murakami, Yuji Matsumoto, Kentaro Inui
{"title":"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","authors":"Suguru Matsuyoshi, Koji Murakami, Yuji Matsumoto, Kentaro Inui","doi":"10.1109/ISUC.2008.31","DOIUrl":null,"url":null,"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.","PeriodicalId":339811,"journal":{"name":"2008 Second International Symposium on Universal Communication","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction\",\"authors\":\"Suguru Matsuyoshi, Koji Murakami, Yuji Matsumoto, Kentaro Inui\",\"doi\":\"10.1109/ISUC.2008.31\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":339811,\"journal\":{\"name\":\"2008 Second International Symposium on Universal Communication\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Second International Symposium on Universal Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISUC.2008.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second International Symposium on Universal Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISUC.2008.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Database of Relations between Predicate Argument Structures for Recognizing Textual Entailment and Contradiction
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信