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

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.