Knowledge Sources for Word Sense Disambiguation of Biomedical Text

  title={Knowledge Sources for Word Sense Disambiguation of Biomedical Text},
  author={Mark Stevenson and Yikun Guo and Robert J. Gaizauskas and David Mart{\'i}nez},
Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the automatic processing of biomedical texts. Previous approaches to resolving this problem have made use of a variety of knowledge sources including linguistic information (from the context in which the ambiguous term is used) and domain-specific resources (such as UMLS). In this paper we compare a range of knowledge sources which have… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications referenced by this paper.
Showing 1-10 of 18 references

Evaluating WordNetbased measures of semantic distance

  • A. Budanitsky, G. Hirst.
  • Computational Linguistics, 32(1):13–47.
  • 2006
1 Excerpt

Similar Papers

Loading similar papers…