Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Pattern-based automatic taxonomy learning from the Web
AI Communications
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Hyponymy is a basic semantic relation. There are still many error relations in the automatic acquired hyponymy relations from free text. They will affect the building of ontologies. We present an iterative method of hyponymy verification between Chinese terms based on concept space. We give the definition of concept space about a group of candidate hyponymy relations initially. Then a set of hyponymy features based on concept space are acquired. These features are changed into production rules. Finally the candidate hyponymy relations are iterative verified with those production rules. Experimental results demonstrate good performance of the method.