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This article is cited in 5 scientific papers (total in 5 papers)
Effectiveness of methods for assessing the text relevance
K. M. Belova, V. A. Sudakov
Abstract:
Using the example of the task of comparing the abstracts of articles and descriptions of planned research projects, various methods for assessing the relevance of texts are analyzed and their effectiveness is determined. To obtain a rational assessment of relevance, a procedure for integrating the resulting estimates is proposed. Software has been developed that implements the proposed approach. Approbation of the proposed procedure was carried out on the example of notices of grants and public procurement and abstracts of scientific articles posted in the Russian Science Citation Index.
Keywords:
relevance, cosine similarity, Tanimoto index, Okapi BM25,
undominated alternatives.
Citation:
K. M. Belova, V. A. Sudakov, “Effectiveness of methods for assessing the text relevance”, Keldysh Institute preprints, 2020, 068, 16 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2859 https://www.mathnet.ru/eng/ipmp/y2020/p68
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Abstract page: | 122 | Full-text PDF : | 103 | References: | 14 |
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