title: FactRuEval 2016: Evaluation of Named Entity Recognition and Fact Extraction Systems for Russian
metadata.name: dc.contributor.author
metadata.value: Starostin, A. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bocharov, V. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Alexeeva, S. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bodrova, A. A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Chuchunkov, A. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Dzhumaev, S. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Efimenko, I. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Granovsky, D. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Khoroshevsky, V. F.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Krylova, I. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Nikolaeva, M. A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Smurov, I. M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Toldova, S. Y.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-10-18T10:51:24Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-10-18T10:51:24Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2016
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/8554
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: In this paper, we describe the rules and results of the FactRuEval informa- tion extraction competition held in 2016 as part of the Dialogue Evaluation initiative in the run-up to Dialogue 2016. The systems were to extract in- formation from Russian texts and competed in two named entity extraction tracks and one fact extraction track. The paper describes the tasks set be- fore the participants and presents the scores achieved by the contending systems. Additionally, we dwell upon the scoring methods employed for evaluating the results of all the three tracks and provide some preliminary analysis of the state of the art in Information Extraction for Russian texts. We also provide a detailed description of the composition and general orga- nization of the annotated corpus created for the competition by volunteers using the OpenCorpora.org platform. The corpus is publicly available and is expected to evolve in the future.
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;688-705
metadata.lang: -
metadata.name: dc.subject
metadata.value: named entity recognition
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: FactRuEval 2016: Evaluation of Named Entity Recognition and Fact Extraction Systems for Russian
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 2016_Dialogue_Alexeeva_als_FactRuEval.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/8554/1/2016_Dialogue_Alexeeva_als_FactRuEval.pdf
resources.format: Adobe PDF
resources.size: 982,34 kB