Journal article

Disambiguation of ambiguous biomedical terms using examples generated from the UMLS Metathesaurus

Mark Stevenson, Yikun Guo

Journal of Biomedical Informatics | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2010


Researchers have access to a vast amount of information stored in textual documents and there is a pressing need for the development of automated methods to enable and improve access to this resource. Lexical ambiguity, the phenomena in which a word or phrase has more than one possible meaning, presents a significant obstacle to automated text processing. Word Sense Disambiguation (WSD) is a technology that resolves these ambiguities automatically and is an important stage in text understanding. The most accurate approaches to WSD rely on manually labeled examples but this is usually not available and is prohibitively expensive to create. This paper offers a solution to that problem by using..

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University of Melbourne Researchers


Awarded by UK Engineering and Physical Sciences Research Council

Awarded by Engineering and Physical Sciences Research Council

Funding Acknowledgements

We are grateful to the two anonymous reviewers for their detailed feedback and helpful suggestions. We also thank Bridget McInnes for providing the mapping from the NLM-WSD corpus to UMLS and David Martinez for his assistance with the WSD system. This work was supported by the UK Engineering and Physical Sciences Research Council (Grants EP/D069548/1 and EP/E004350/1).