AMIA Annu Symp Proc - Knowledge-based method for determining the meaning of ambiguous biomedical terms using information content measures of similarity.

Tópicos

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Resumo

In this paper, we introduce a novel knowledge-based word sense disambiguation method that determines the sense of an ambiguous word in biomedical text using semantic similarity or relatedness measures. These measures quantify the degree of similarity between concepts in the Unified Medical Language System (UMLS). The objective of this work was to develop a method that can disambiguate terms in biomedical text by exploiting similarity information extracted from the UMLS and to evaluate the efficacy of information content-based semantic similarity measures, which augment path-based information with probabilities derived from biomedical corpora. We show that information content-based measures obtain a higher disambiguation accuracy than path-based measures because they weight the path based on where it exists in the taxonomy coupled with the probability of the concepts occurring in a corpus of text.

Resumo Limpo

paper introduc novel knowledgebas word sens disambigu method determin sens ambigu word biomed text use semant similar related measur measur quantifi degre similar concept unifi medic languag system uml object work develop method can disambigu term biomed text exploit similar inform extract uml evalu efficaci inform contentbas semant similar measur augment pathbas inform probabl deriv biomed corpora show inform contentbas measur obtain higher disambigu accuraci pathbas measur weight path base exist taxonomi coupl probabl concept occur corpus text

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