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Conference Paper Word sense disambiguation using lexical and semantic information within local syntactic relations
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Authors
Young-Kil Kim, Mun-Pyo Hong, Chang-Hyun Kim, Sang-Kyu Park
Issue Date
2004-11
Citation
Conference of IEEE Industrial Electronics Society (IECON) 2004, pp.3111-3114
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/IECON.2004.1432309
Project Code
04MF1100, Language Information Processing Technology Development, Young Jik Lee
Abstract
Until recently, most of WSD models have used adjacent words surrounding a target word as context information for word sense disambiguation. The difficulty of parsing Korean sentences and properly analyzing their structures restricted us to use syntactic relations to select proper senses of Korean words. In this paper, we propose the method to disambiguate Korean noun senses in unrestricted texts using a statistical WSD model based on lexical and semantic information within syntactic relations. We disambiguate noun senses step by step in the range of local syntactic relations such as VP, NP and compound nouns. We classified the meaning of Korean nouns with about 400 semantic codes allowing for 8 levels in the semantic hierarchy and experimented for 1,838 homographs using the semantic information in consideration with syntactic relations. In the experiment, average senses of homographs that have different translations are 2.84 and the precision of word sense disambiguation is 86.2%.
KSP Keywords
Context Information, Semantic hierarchy, Step-by-step, model-based, semantic information, word sense disambiguation