Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages
Priya Rani, Gaurav Negi, Saroj Jha, Shardul Suryawanshi, Atul Kr. Ojha, Paul Buitelaar, John P. McCrae
Abstract
This paper describes the structure and findings of the WILDRE 2024 shared task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages. The participants were asked to submit the test data’s final prediction on CodaLab. A total of fourteen teams registered for the shared task. Only four participants submitted the system for evaluation on CodaLab, with only two teams submitting the system description paper. While all systems show a rather promising performance, they outperform the baseline scores.- Anthology ID:
- 2024.wildre-1.3
- Volume:
- Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Girish Nath Jha, Sobha L., Kalika Bali, Atul Kr. Ojha
- Venues:
- WILDRE | WS
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 17–23
- Language:
- URL:
- https://aclanthology.org/2024.wildre-1.3
- DOI:
- Cite (ACL):
- Priya Rani, Gaurav Negi, Saroj Jha, Shardul Suryawanshi, Atul Kr. Ojha, Paul Buitelaar, and John P. McCrae. 2024. Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages. In Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation, pages 17–23, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages (Rani et al., WILDRE-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.wildre-1.3.pdf