Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian › Research Explorer

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Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/S.A.I.ence50533.2020.9303196
Final published version

Elena Bruches
Alexey Pauls
Tatiana Batura
Vladimir Isachenko

Original language	English
Title of host publication	Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-45
Number of pages	5
ISBN (Electronic)	9780738131115
DOIs	https://doi.org/10.1109/S.A.I.ence50533.2020.9303196
Publication status	Published - 14 Nov 2020
Event	2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020 - Virtual, Novosibirsk, Russian Federation Duration: 14 Nov 2020 → 15 Nov 2020

Publication series

Name	Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020

Conference

Conference	2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020
Country/Territory	Russian Federation
City	Virtual, Novosibirsk
Period	14.11.2020 → 15.11.2020

Research areas

dataset building, entity recognition, information extraction, neural network models, relation classification

ID: 27526542