An approach to abstractive summarization for norwegian bokmål

dc.contributor.author	Fedorova M.
dc.contributor.author	Malykh V.
dc.contributor.author	Tyers F.
dc.date.accessioned	2020-01-15T21:56:22Z
dc.date.available	2020-01-15T21:56:22Z
dc.date.issued	2019
dc.identifier.issn	1865-0929
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/156422
dc.description.abstract	© Springer Nature Switzerland AG 2019. In this paper we present a new Norwegian language (Bokmaal) dataset for abstractive summarization task. And we also present results for this task for methods like classic TextRank and modern neural networks based ones, the best method, which uses named entity reparation technique, gets 24.3 ROUGE-1 and 0.02 extraction score.
dc.relation.ispartofseries	Communications in Computer and Information Science
dc.subject	Abstractive summarization
dc.subject	Neural networks
dc.subject	Norwegian language
dc.title	An approach to abstractive summarization for norwegian bokmål
dc.type	Conference Paper
dc.relation.ispartofseries-volume	1119 CCIS
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	161
dc.source.id	SCOPUS18650929-2019-1119-SID85076234600

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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.