Analysis of the methods of word sense disambiguation in the biomedical domain

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki

A. B. Gurinovich¹  A. P. Kuznetsov¹  A. V. Pashuk¹  N. A. Volorova¹ 

[1] Belarusian state university of informatics and radioelectronics;

关键词: machine learning;    natural language processing;    word sense disambiguation;    information retrieval;   

DOI  :  10.35596/1729-7648-2019-123-5-60-65

来源: DOAJ

【 摘 要 】

A method for resolving the lexical ambiguity of biomedical terms has been proposed. The method is based on a comparison of «word bags» obtained from the context, definitions and information on related terms from the UMLS metathesaurus [1]. Modification of the method using the analysis of word importance using the statistical measure TF-IDF has been proposed. Experimental verification of the method has been performed on the open test MSH WSD data set [2], developed to support research in the field of lexical resolution.

【 授权许可】

Unknown