Findings of the VarDial Evaluation Campaign 2021
Bharathi Raja Chakravarthi, Gaman Mihaela, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubešić, Niko Partanen, Ruba Priyadharshini, Christoph Purschke, Eswari Rajagopal, Yves Scherrer, Marcos Zampieri
Abstract
This paper describes the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2021. The campaign was part of the eighth workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with EACL 2021. Four separate shared tasks were included this year: Dravidian Language Identification (DLI), Romanian Dialect Identification (RDI), Social Media Variety Geolocation (SMG), and Uralic Language Identification (ULI). DLI was organized for the first time and the other three continued a series of tasks from previous evaluation campaigns.- Anthology ID:
- 2021.vardial-1.1
- Volume:
- Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
- Month:
- April
- Year:
- 2021
- Address:
- Kiyv, Ukraine
- Editors:
- Marcos Zampieri, Preslav Nakov, Nikola Ljubešić, Jörg Tiedemann, Yves Scherrer, Tommi Jauhiainen
- Venue:
- VarDial
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–11
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.vardial-1.1/
- DOI:
- Cite (ACL):
- Bharathi Raja Chakravarthi, Gaman Mihaela, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubešić, Niko Partanen, Ruba Priyadharshini, Christoph Purschke, Eswari Rajagopal, Yves Scherrer, and Marcos Zampieri. 2021. Findings of the VarDial Evaluation Campaign 2021. In Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 1–11, Kiyv, Ukraine. Association for Computational Linguistics.
- Cite (Informal):
- Findings of the VarDial Evaluation Campaign 2021 (Chakravarthi et al., VarDial 2021)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.vardial-1.1.pdf
- Data
- MOROCO