Show simple item record

dc.contributor.authorStevenson, M
dc.contributor.authorAgirre, E
dc.contributor.authorSoroa, A
dc.date.accessioned2020-12-21T04:06:37Z
dc.date.available2020-12-21T04:06:37Z
dc.date.issued2012-03-01
dc.identifierpii: amiajnl-2011-000415
dc.identifier.citationStevenson, M., Agirre, E. & Soroa, A. (2012). Exploiting domain information for Word Sense Disambiguation of medical documents. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 19 (2), pp.235-240. https://doi.org/10.1136/amiajnl-2011-000415.
dc.identifier.issn1067-5027
dc.identifier.urihttp://hdl.handle.net/11343/257486
dc.description.abstractOBJECTIVE: Current techniques for knowledge-based Word Sense Disambiguation (WSD) of ambiguous biomedical terms rely on relations in the Unified Medical Language System Metathesaurus but do not take into account the domain of the target documents. The authors' goal is to improve these methods by using information about the topic of the document in which the ambiguous term appears. DESIGN: The authors proposed and implemented several methods to extract lists of key terms associated with Medical Subject Heading terms. These key terms are used to represent the document topic in a knowledge-based WSD system. They are applied both alone and in combination with local context. MEASUREMENTS: A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset. RESULTS AND DISCUSSION: The authors report a significant improvement when combining those key terms with local context, showing that domain information improves the results of a WSD system based on the Unified Medical Language System Metathesaurus alone. The best results were obtained using key terms obtained by relevance feedback and weighted by inverse document frequency.
dc.languageEnglish
dc.publisherOXFORD UNIV PRESS
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.titleExploiting domain information for Word Sense Disambiguation of medical documents
dc.typeJournal Article
dc.identifier.doi10.1136/amiajnl-2011-000415
melbourne.affiliation.departmentVeterinary Biosciences
melbourne.source.titleJournal of the American Medical Informatics Association
melbourne.source.volume19
melbourne.source.issue2
melbourne.source.pages235-240
dc.rights.licenseCC BY-NC
melbourne.elementsid1275703
melbourne.contributor.authorSTEVENSON, MARK
melbourne.contributor.authorStevenson, Mark
dc.identifier.eissn1527-974X
melbourne.accessrightsOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record