Abstract: Automatic verification of hyponymy relations is a basic problem in knowledge acquisition from text. This paper presents an iterative method of hyponymy verification based on hybrid features. It initially acquires a set of hyponymy features based on semantic, context and space structure of hyponymy. These features are changed into a set of production rules. The candidate hyponymys using Chinese lexico-syntactic patterns from Chinese corpus is verified with multi-features production rules. Experimental results demonstrate good performance of the method.

Key words: hyponymy relation, relation acquisition, knowledge acquisition, hyponymy relation verification

摘要： 上下位关系的自动验证是知识获取中的一个关键问题。提出一种基于混合特征的迭代上下位关系验证方法，从语义、语境、空间结构角度，给出一组上下位关系特征，根据抽样数据分析，将所有特征转化为用于验证的产生式规则，利用这些规则对基于模式获取的上下位关系进行循环迭代验证。实验结果说明了该方法的有效性。

关键词: 上下位关系, 关系获取, 知识获取, 上下位关系验证

CLC Number: 

• TP301.6