Hyponymy Relation Verification Method Based on Hybrid Features
Cungen Cao · Jisuanji gongcheng · 2008
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.