Automatic verification of "isa" relations based on features

Authors:
Lei Liu;Sen Zhang;LuHong Diao;ShuYing Yan;CunGen Cao
Affiliations:
College of Applied Sciences, Beijing University of Technology;College of Applied Sciences, Beijing University of Technology;College of Applied Sciences, Beijing University of Technology;Institute of Computing Technology, Chinese Academy of Sciences;Institute of Computing Technology, Chinese Academy of Sciences
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Year:
2009

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Ontology Learning for the Semantic Web

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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

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Abstract

Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are changed into a set of production rules. Then the candidate "isa" relations acquired from Chinese corpus is verified with multifeatures production rules. Experimental results demonstrate good performance of the method.