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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 multi-features production rules. Experimental results demonstrate good performance of the method. © 2009 IEEE.
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