Analysis of the methods of word sense disambiguation in the biomedical domain
| Autor: | A. V. Pashuk, A. B. Gurinovich, N. A. Volorova, A. P. Kuznetsov |
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| Jazyk: | ruština |
| Rok vydání: | 2019 |
| Předmět: |
Measure (data warehouse)
TK7800-8360 Umls metathesaurus business.industry Computer science Lexical ambiguity Context (language use) Resolution (logic) computer.software_genre Field (computer science) Data set machine learning word sense disambiguation Artificial intelligence information retrieval natural language processing Electronics business computer Word (computer architecture) Natural language processing |
| Zdroj: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 60-65 (2019) |
| ISSN: | 1729-7648 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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