title: MorphoRuEval-2017: an Evaluation Track for the Automatic Morphological Analysis Methods for Russian
metadata.name: dc.contributor.author
metadata.value: Sorokin, A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Shavrina, T.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Lyashevskaya, O.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bocharov, B.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Alexeeva, S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Droganova, K.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Fenogenova, A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Granovsky, D.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-10-18T10:23:03Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-10-18T10:23:03Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-06
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/8550
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: MorphoRuEval-2017 is an evaluation campaign designed to stimulate the development of the automatic morphological processing technologies for Russian, both for normative texts (news,  ction, non ction) and those of less formal nature (blogs and other social media). This article compares the methods participants used to solve the task of morphological analysis. It also discusses the problem of uni cation of various existing training col- lections for Russian language
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Компьютерная лингвистика и интеллектуальные технологии;(1), 297-313
metadata.lang: -
metadata.name: dc.subject
metadata.value: morphological tagging
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: MorphoRuEval-2017: an Evaluation Track for the Automatic Morphological Analysis Methods for Russian
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 2017_Диалог_Алексеева_др_morphoeval.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/8550/1/2017_%d0%94%d0%b8%d0%b0%d0%bb%d0%be%d0%b3_%d0%90%d0%bb%d0%b5%d0%ba%d1%81%d0%b5%d0%b5%d0%b2%d0%b0_%d0%b4%d1%80_morphoeval.pdf
resources.format: Adobe PDF
resources.size: 684,33 kB