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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28058
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dc.contributor.authorПашук, А. В.-
dc.contributor.authorГуринович, А. Б.-
dc.contributor.authorВолорова, Н. А.-
dc.contributor.authorКузнецов, А. П.-
dc.date.accessioned2017-11-24T09:29:22Z-
dc.date.available2017-11-24T09:29:22Z-
dc.date.issued2017-
dc.identifier.citationПроблема распознавания именованных сущностей в биомедицинских публикациях / А. В. Пашук и [др.] // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 319-323.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/28058-
dc.description.abstractThe number of publications in biomedicine published and indexed annually by PubMed [1] almost dou- bled over the past 10 years (from 746 thousand to 1354 thousand). This leads to a deterioration in the quality of search and cataloging of scientific publications and it becomes increasingly difficult for scientists to find the necessary infor- mation. There is a need to transform unstructured scientific texts into structured formats (XML, JSON). In this task, the quality of recognition of named entities in textual information is of great importanceru_RU
dc.language.isoruru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectраспознаваниеru_RU
dc.subjectбиомедицинские публикацииru_RU
dc.subjectименованные сущностиru_RU
dc.titleПроблема распознавания именованных сущностей в биомедицинских публикацияхru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)

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