Abstract
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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Moon, YJ., Kim, M., Hwang, Y., Kim, P., Choi, K. (2002). Extraction of Word Senses from Human Factors in Knowledge Discovery. In: Lange, S., Satoh, K., Smith, C.H. (eds) Discovery Science. DS 2002. Lecture Notes in Computer Science, vol 2534. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36182-0_29
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DOI: https://doi.org/10.1007/3-540-36182-0_29
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