(中国国防科技信息中心 北京 100142)

提出一种面向概念词汇知识库自动构建的术语关系识别方法，着重研究概念词汇上下位关系的统计和词形规则特征，提出一个多特征融合的概念关系识别模型。实验结果表明该模型对同义关系和上下位关系的识别是有效的。

(China Defense Science and Technology Information Center, Beijing 100142, China)

This paper proposes an approach to identify term relations for automatic construction of conceptual lexical database, and focuses on discovering statistical and morphological features of hypernym/hyponym relations between conceptual words. Then it puts forward a feature-mixed identification model. The result shows that the model is effective on identifying synonym, hypernym/hyponym relations.

TP301.6

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