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SOURCE:	Almanac of Modern Science and Education. Tambov: Gramota, 2016. № 12. P. 87-92.
SCIENTIFIC AREA:	Technical Sciences
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SOFTWARE TOOLS FOR INFORMATION EXTRACTION FROM NATURAL-LANGUAGE TEXTS

Rubailo Andrei Valer'evich, Kosenko Maksim Yur'evich
Chelyabinsk State University

Abstract. The article describes the existing tools for extracting named entities from natural-language texts. A comparison of the considered tools to identify the most suitable of them to solve the task of extracting named entities from non-formatted Russian-language texts is carried out. The authors substantiate practical efficiency of Tomita-parser to solve tasks of extracting named entities from non-formatted Russian-language texts.

Key words and phrases: извлечение именованных сущностей, обработка текста, обработка информации, автоматизация, Томита-парсер, Named Entity Recognition, GATE, PullEnti SDK, Eureka Engine, extraction of named entities, word processing, data processing, automation, Tomita-parser, Named Entity Recognition, GATE, PullEnti SDK, Eureka Engine

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References:

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