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

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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.

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Chakravarthi, B. R., Priyadharshini, R., Subalalitha, C. N., Sivanesan, S., Subramanian, M., Shanmugavadivel, K., … Valli, S. (2022). Findings of the Shared Task on Multi-task Learning in Dravidian Languages. In DravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop (pp. 286–291). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.dravidianlangtech-1.43

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