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Methodology for building extraction templates for Russian language in knowledge-based IE systems

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dc.contributor.author Solovyev V.
dc.contributor.author Ivanov V.
dc.contributor.author Gareev R.
dc.contributor.author Serebryakov S.
dc.contributor.author Vassilieva N.
dc.date.accessioned 2018-09-18T20:35:35Z
dc.date.available 2018-09-18T20:35:35Z
dc.date.issued 2012
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/141477
dc.description.abstract In this paper we describe methodology for building information extraction (IE) rules. Rules are usually developed by experts and are widely used in knowledge-based IE systems. They consist of two parts: the left-hand side (LHS) of a rule is a template that matches a certain syntactico-semantic structure (SSS) and the right-hand side is an action that is executed when LHS template is matched against a particular text fragment. In the paper we describe the process of building a more complex LHS part (further in the paper we will refer to LHS as template). This methodology was used for developing the information extraction system that extracts business events from news articles written in Russian language. © Copyright 2012 Hewlett-Packard Development Company, L.P.
dc.subject Free-context grammars
dc.subject IE
dc.subject Meaning-text
dc.subject Rules
dc.subject Templates
dc.title Methodology for building extraction templates for Russian language in knowledge-based IE systems
dc.type Article
dc.relation.ispartofseries-issue 211
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2012-211-SID84867629923


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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