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Lawyer's Intellectual Tool for Analysis of Legal Documents in Russian

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dc.contributor.author Khasianov A.
dc.contributor.author Alimova I.
dc.contributor.author Marchenko A.
dc.contributor.author Nurhambetova G.
dc.contributor.author Tutubalina E.
dc.contributor.author Zuev D.
dc.date.accessioned 2020-01-15T22:11:14Z
dc.date.available 2020-01-15T22:11:14Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156932
dc.description.abstract © 2018 IEEE. In the field of jurisprudence, document management plays a key role. Lawyers have to process a large volume of text documents in order to find necessary information. In this paper, we present 'Robot Lawyer' intellectual system. The main goal of the system is to assist lawyers and citizens in providing the necessary information regarding legal processes. 'Robot Lawyer' includes an expert system that use a set of rules to provide reference information and neural network models to give an answer on more complex questions. The article also describes the methods applied for processing textual information. The system developed for the Russian language.
dc.subject expert system
dc.subject legal text processing
dc.subject named entity recognition
dc.subject neural network
dc.title Lawyer's Intellectual Tool for Analysis of Legal Documents in Russian
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 42
dc.source.id SCOPUS-2019-SID85064156710


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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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