Evaluating effectiveness of linguistic technologies of knowledge identification in text collections

dc.contributor.authorKhairova, N. F.en
dc.contributor.authorShepelyov, G.en
dc.contributor.authorPetrasova, S. V.en
dc.date.accessioned2020-05-21T16:41:02Z
dc.date.available2020-05-21T16:41:02Z
dc.date.issued2014
dc.description.abstractThe possibility of using integral coefficients of recall and precision to evaluate effectiveness of linguistic technologies of knowledge identification in texts is analyzed in the paper. An approach is based on the method of test collections, which is used for experimental validation of received effectiveness coefficients, and on methods of mathematical statistics. The problem of maximizing the reliability of sample results in their propagation on the general population of the tested text collection is studied. The method for determining the confidence interval for the attribute proportion, which is based on Wilson’s formula, and the method for determining the required size of the relevant sample under specified relative error and confidence probability, are considered.en
dc.identifier.citationKhairova N. Evaluating effectiveness of linguistic technologies of knowledge identification in text collections / N. Khairova, G. Shepelyov, S. Petrasova // Information science and computing : Intern. bk. ser. Bk. 29 : Transactions on Business and Engineering Intelligent Applications / ed.: G. Setlak, K. Markov. – Rzeszow : ITHEA, 2014. – P. 71-75.en
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/46374
dc.language.isoen
dc.publisherITHEA, Polanden
dc.subjectrecallen
dc.subjectprecisionen
dc.subjectrelevanceen
dc.subjectconfidence intervalen
dc.subjectsample sizeen
dc.titleEvaluating effectiveness of linguistic technologies of knowledge identification in text collectionsen
dc.typeArticleen

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