Conceptual information-based sense disambiguation
SCIE
SCOPUS
- Title
- Conceptual information-based sense disambiguation
- Authors
- Chung, YJ; Moon, K; Lee, JH
- Date Issued
- 2005-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- Most previous corpus-based approaches to word-sense disambiguation (WSD) collect salient words from the context of a target word. However, they suffer from the problem of data sparseness. To overcome the problem, this paper proposes a concept-based WSD method that uses an automatically generated sense-tagged corpus. Grammatical similarities between Korean and Japanese enable the construction of a sense-tagged Korean corpus through an existing high-quality Japanese-to-Korean machine translation system. The sense-tagged corpus can serve as a knowledge source to extract useful clues for word sense disambiguation, such as concept co-occurrence information. In an evaluation, a weighted voting model achieved the best average precision of 77.22%, with an improvement over the baseline by 14.47%, which shows that our proposed method is very promising for practical NIT systems.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24660
- DOI
- 10.1007/978-3-540-30211-7_37
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN COMPUTER SCIENCE, vol. 3248, page. 348 - 357, 2005-01
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