Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
CompareCorpora '00 Proceedings of the Workshop on Comparing Corpora
WorkSense '00 Proceedings of the ACL-2000 Workshop on Word Senses and Multi-Linguality
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Flood of information sometimes makes it difficult to extract useful knowledge from databases, libraries and WWW. This paper presents an intelligent method for extraction of word senses from human factors in knowledge discovery, which utilizes the integrated Korean noun and verb networks through the selectional restriction relations in sentences. Integration of Korean Noun Networks into the SENKOV(Semantic Networks for Korean Networks) system will play an important role in both computational linguistic applications and psycholinguistic models of language processing.