A Report on the VarDial Evaluation Campaign 2020

Mihaela Gaman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubešić, Niko Partanen, Christoph Purschke, Yves Scherrer, Marcos Zampieri


Abstract
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the seventh workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with COLING 2020. The campaign included three shared tasks each focusing on a different challenge of language and dialect identification: Romanian Dialect Identification (RDI), Social Media Variety Geolocation (SMG), and Uralic Language Identification (ULI). The campaign attracted 30 teams who enrolled to participate in one or multiple shared tasks and 14 of them submitted runs across the three shared tasks. Finally, 11 papers describing participating systems are published in the VarDial proceedings and referred to in this report.
Anthology ID:
2020.vardial-1.1
Volume:
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Editors:
Marcos Zampieri, Preslav Nakov, Nikola Ljubešić, Jörg Tiedemann, Yves Scherrer
Venue:
VarDial
SIG:
Publisher:
International Committee on Computational Linguistics (ICCL)
Note:
Pages:
1–14
Language:
URL:
https://aclanthology.org/2020.vardial-1.1
DOI:
Bibkey:
Cite (ACL):
Mihaela Gaman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubešić, Niko Partanen, Christoph Purschke, Yves Scherrer, and Marcos Zampieri. 2020. A Report on the VarDial Evaluation Campaign 2020. In Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, pages 1–14, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).
Cite (Informal):
A Report on the VarDial Evaluation Campaign 2020 (Gaman et al., VarDial 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.vardial-1.1.pdf
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