CAJ | 학술논문

词义排岐是自然语言处理中最关键也是最困难的问题之一,至今仍没有得到完全有效的解决.在研究HNC表达汉语知识的基础上,提出了一种基于概念关联式的汉语词义消歧方法,用于处理汉语的歧义字段.该方法综合了词语概念的层次性、网络性、结构性特征,用一种统一的表示式来规范这类特征,解决了多个不同概念之间的知识关联表示问题.实验对20个汉语高频多义词进行了测试,平均正确率为94%,验证了该方法的有效性.
사의배기시자연어언처리중최관건야시최곤난적문제지일,지금잉몰유득도완전유효적해결.재연구HNC표체한어지식적기출상,제출료일충기우개념관련식적한어사의소기방법,용우처리한어적기의자단.해방법종합료사어개념적층차성、망락성、결구성특정,용일충통일적표시식래규범저류특정,해결료다개불동개념지간적지식관련표시문제.실험대20개한어고빈다의사진행료측시,평균정학솔위94%,험증료해방법적유효성.
As one of the most important and also the most difficult problem of Chinese information processing field,word sense disambiguation has not been entirely solved until now.On the basis of our research on HNC representing Chinese knowledge,this article proposed a word sense disambiguating method based on concept relativity.The method combines various features in concepts.The features include hierarchy,network and structure etc.The uniform representation formalizes the features.In this way,the problem of knowledge relationship expression among various concepts will be solved.20 Chinese polysemous words were tested in our experiment.The result with average precision 87% shows that the method is effective.