首页 | 本学科首页   官方微博 | 高级检索  
     

中文语义依存关系分析的统计模型
引用本文:李明琴,李涓子,王作英,陆大.中文语义依存关系分析的统计模型[J].计算机学报,2004,27(12):1679-1687.
作者姓名:李明琴  李涓子  王作英  陆大
作者单位:1. 清华大学电子工程系,北京,100084
2. 清华大学计算机科学与技术系,北京,100084
基金项目:国家“八六三”高技术研究发展计划项目基金 ( 2 0 0 1AA114 0 71)资助
摘    要:该文提出了一个统计语义分析器,它能够发现中文句子中的语义依存关系.这些语义依存关系可以用于表示句子的意义和结构.语义分析器在1百万词的标有语义依存关系的语料库(语义依存网络语料库,SDN)上训练并测试,文中设计、实现了多个实验以分析语义分析器的性能.实验结果表明,分析器在非限定领域中表现出了较好的性能,分析正确率与中文句法分析器基本相当。

关 键 词:语义分析  统计分析器  依存语法  语义依存网络

A Statistical Model for Parsing Semantic Dependency Relations in a Chinese Sentence
LI Ming-Qin,LI Juan-zi,WANG Zuo-ying,LU Da-Jin.A Statistical Model for Parsing Semantic Dependency Relations in a Chinese Sentence[J].Chinese Journal of Computers,2004,27(12):1679-1687.
Authors:LI Ming-Qin  LI Juan-zi  WANG Zuo-ying  LU Da-Jin
Affiliation:LI Ming-Qin 1) LI Juan-Zi 2) WANG Zuo-Ying 1) LU Da-Jin 1) 1)
Abstract:This paper presents a statistical semantic parser, which could discover the semantic dependency relations in a Chinese sentence. By these relations the meaning and structure of sentence could be represented. The parser was trained and evaluated on a 1M-word-scale corpus annotated with semantic dependency, Semantic Dependency Net (SDN). Various experiments were carried out to analyze the performance of the parser, and good performance was shown in parsing domain-unrestricted text. The accuracy reached as high level as the Chinese syntactic parser.
Keywords:semantic parsing  statistical parser  dependency grammar  semantic dependency net
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号