Evaluating measures of semantic similarity and relatedness to disambiguate terms in biomedical text

Author:

McInnes Bridget T.,Pedersen Ted

Funder

National Institutes of Health

U.S. National Library of Medicine

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference34 articles.

1. Patwardhan S, Banerjee S, Pedersen T. Using measures of semantic relatedness for word sense disambiguation. In: Proceedings of the fourth international conference on intelligent text processing and computational linguistics; 2003. p. 241–57.

2. McInnes B, Pedersen T, Liu Y, Pakhomov S, Melton G. Knowledge-based method for determining the meaning of ambiguous biomedical terms using information content measures of similarity. In: Proceedings of the American medical informatics association symposium, Washington, DC; 2011.

3. Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification;Garla;J Am Med Inform Assoc,2012

4. Zhong Z, Ng H. It makes sense: a wide-coverage word sense disambiguation system for free text. In: Proceedings of the ACL 2010 system demonstrations, association for computational linguistics; 2010. p. 78–83.

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

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