MindNet: acquiring and structuring semantic information from text
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
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
Projecting corpus-based semantic links on a thesaurus
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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Research on hyponymy acquisition is a basic and crucial problem in knowledge acquisition from text. In this paper we present a method of hyponymic relation acquisition and verification based on Chinese lexico-syntactic patterns. Firstly, we make use of removable lexicons and sentence patterns that have been semi-automatically obtained to analyze Chinese-isa patterns. Then we use an algorithm that combines outside layer removal and inside layer gathering to acquire hyponymic concept. In the final phase, we combine self features and context features together for the verification of hyponymy. Experimental results show that the method is adequate of extracting hyponymy from Chinese free text.