语义词典归类不当现象自动发现  

Automatic Detection of Improper Categorization in Semantic Lexicon

作　　者：邱立坤[1,2] 邵艳秋[2] 

机构地区：[1]北京大学计算语言学教育部重点实验室,北京100871 [2]北京城市学院人工智能研究所,北京100083

出　　处：《中文信息学报》2011年第1期79-84,共6页Journal of Chinese Information Processing

基　　金：模式识别国家重点实验室开放课题基金(2008);北京市教委科技发展计划面上项目(KM200800004003);北京大学计算语言学教育部重点实验室开放课题基金(KLCL-1003)

摘　　要：平行周遍原则是陈保亚(1999)提出的一种用于区分词与短语的理论,将词语分为既平行又周遍、平行不周遍和不平行不周遍三类,既平行又周遍的是短语,不宜收入词典。由于汉语语义词典在收词时并未严格遵循平行周遍原则,因此依据现有语义词典可以自动地归纳出许多平行周遍规则或者平行不周遍规则。假定有两部语义词典,则可以归纳出两套平行(不)周遍规则,每一套规则都有各自的正例和反例。一个词典中某一规则的反例如果同时是另一词典中的正例,就意味着前一部词典中的词语可能归类不当。基于这一思路,该文提出一个基于平行周遍原则的语义词典归类不当现象自动发现方法,实验结果证明了这一方法的有效性。The ＂parallel and general principle＂ by Baoya Chen（1999）,focuses on differentiating word and phrase.Through this principle,words and phrases are classified into three kinds： both parallel and general,parallel but not general,neither parallel nor general.The first kind should not be taken as a word.Since most semantic lexicons haven＇t conformed to the Principle when classifying one unit into word or phrase,we might acquire many rules that follow the Principle.Given two semantic lexicons,we might induce two sets of rules,both of which have their own positive examples and counterexamples.If a counterexample in one lexicon is also the positive example in another lexicon,it usually means there exists one improper categorization in the former lexicon.Based on this idea,an automatic detection method is proposed.Experimental results show the effectiveness of this method.

关 键 词：平行周遍原则 语义词典 归类 自动发现 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]