@inproceedings{rani-etal-2024-findings,
title = "Findings of the {WILDRE} Shared Task on Code-mixed Less-resourced Sentiment Analysis for {I}ndo-{A}ryan Languages",
author = "Rani, Priya and
Negi, Gaurav and
Jha, Saroj and
Suryawanshi, Shardul and
Ojha, Atul Kr. and
Buitelaar, Paul and
McCrae, John P.",
editor = "Jha, Girish Nath and
L., Sobha and
Bali, Kalika and
Ojha, Atul Kr.",
booktitle = "Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.wildre-1.3",
pages = "17--23",
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.",
}
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%0 Conference Proceedings
%T Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages
%A Rani, Priya
%A Negi, Gaurav
%A Jha, Saroj
%A Suryawanshi, Shardul
%A Ojha, Atul Kr.
%A Buitelaar, Paul
%A McCrae, John P.
%Y Jha, Girish Nath
%Y L., Sobha
%Y Bali, Kalika
%Y Ojha, Atul Kr.
%S Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F rani-etal-2024-findings
%X 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.
%U https://aclanthology.org/2024.wildre-1.3
%P 17-23
Markdown (Informal)
[Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages](https://aclanthology.org/2024.wildre-1.3) (Rani et al., WILDRE-WS 2024)
ACL