Determining the difficulty of Word Sense Disambiguation

Author:

McInnes Bridget T.,Stevenson Mark

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference41 articles.

1. A multi-aspect comparison study of supervised word sense disambiguation;Liu;J Am Med Infor Assoc,2004

2. Joshi M, Pedersen T, Maclin R, A comparative study of support vector machines applied to the word sense disambiguation problem for the medical domain. In: Proceedings of the second Indian Conference on Artificial Intelligence (IICAI-05). Pune, India; 2005. p. 3449–68.

3. Word sense disambiguation by selecting the best semantic type based on journal descriptor indexing: preliminary experiment;Humphrey;J Am Soc Infor Sci Technol,2006

4. McInnes B, Pedersen T, Carlis J. Using UMLS Concept Unique Identifiers (CUIs) for word sense disambiguation in the biomedical domain. In: Proceedings of the annual symposium of the american medical informatics association. Chicago, IL; 2007. p. 533–37.

5. Disambiguation of biomedical text using diverse sources of information;Stevenson;BMC Bioinformatics,2008

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