Automatic Generation of Hierarchical Taxonomies from Free Text Using Linguistic Algorithms
OOIS '02 Proceedings of the Workshops on Advances in Object-Oriented Information Systems
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
Pattern-based automatic taxonomy learning from the Web
AI Communications
Extracting hyponymy patterns in Tibetan language to enrich minority languages knowledge base
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Extracting hyponymy patterns in Tibetan language to enrich minority languages knowledge bas
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
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Verification of hyponymy relations is a basic problem in knowledge acquisition. We present a method of hyponymy verification based on concept space. Firstly, we give the definition of concept space about a group of candidate hyponymy relations. Secondly we analyze the concept space and define a set of hyponymy features based on the space structure. Then we use them to verify candidate hyponymy relations. Experimental results show that the method can provide adequate verification of hyponymy.