title: Exploiting domain information for Word Sense Disambiguation of medical documents.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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.
  
  
  METHODS
  A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset.
  
  
  CONCLUSIONS
  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.
authors: Department of Computer Science, Sheffield University, Sheffield, UK. m.stevenson@dcs.shef.ac.uk
authors: Mark
authors: M
authors: Stevenson
authors: Eneko
authors: E
authors: Agirre
authors: Aitor
authors: A
authors: Soroa
mesh_terms: D016247:Information Storage and Retrieval / Q000379:methods*; D051188:Knowledge Bases; D008490:Medical Informatics / Q000379:methods; D046650:Medical Subject Headings; D009323:Natural Language Processing; D009626:Terminology as Topic; D017432:Unified Medical Language System