计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 208-210.
• 人工智能 • 上一篇 下一篇
缪建明,张全
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MIAO Jian-ming,ZHANG Quan
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摘要： 词义排歧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。
关键词: 词义消岐，概念关联式，HNC理论
Abstract: 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.
Key words: Word sense disambiguation (WSD)，Concept relativity, HNC theory
缪建明,张全. 一种基于概念关联式的词义消岐方法[J]. 计算机科学, 2010, 37(1): 208-210. https://doi.org/
MIAO Jian-ming,ZHANG Quan. Word Sense Disambiguating Method Based on Concept Relativity[J]. Computer Science, 2010, 37(1): 208-210. https://doi.org/
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