Findings of the Shared Task on Multi-task Learning in Dravidian Languages

Bharathi Raja Chakravarthi, Ruba Priyadharshini, Subalalitha Cn, Sangeetha S, Malliga Subramanian, Kogilavani Shanmugavadivel, Parameswari Krishnamurthy, Adeep Hande, Siddhanth U Hegde, Roshan Nayak, Swetha Valli


Abstract
We present our findings from the first shared task on Multi-task Learning in Dravidian Languages at the second Workshop on Speech and Language Technologies for Dravidian Languages. In this task, a sentence in any of three Dravidian Languages is required to be classified into two closely related tasks namely Sentiment Analyis (SA) and Offensive Language Identification (OLI). The task spans over three Dravidian Languages, namely, Kannada, Malayalam, and Tamil. It is one of the first shared tasks that focuses on Multi-task Learning for closely related tasks, especially for a very low-resourced language family such as the Dravidian language family. In total, 55 people signed up to participate in the task, and due to the intricate nature of the task, especially in its first iteration, 3 submissions have been received.
Anthology ID:
2022.dravidianlangtech-1.43
Volume:
Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar Madasamy, Parameswari Krishnamurthy, Elizabeth Sherly, Sinnathamby Mahesan
Venue:
DravidianLangTech
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
286–291
Language:
URL:
https://aclanthology.org/2022.dravidianlangtech-1.43
DOI:
10.18653/v1/2022.dravidianlangtech-1.43
Bibkey:
Cite (ACL):
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Subalalitha Cn, Sangeetha S, Malliga Subramanian, Kogilavani Shanmugavadivel, Parameswari Krishnamurthy, Adeep Hande, Siddhanth U Hegde, Roshan Nayak, and Swetha Valli. 2022. Findings of the Shared Task on Multi-task Learning in Dravidian Languages. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 286–291, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Findings of the Shared Task on Multi-task Learning in Dravidian Languages (Chakravarthi et al., DravidianLangTech 2022)
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PDF:
https://aclanthology.org/2022.dravidianlangtech-1.43.pdf