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Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages

Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation

DOI:10.63317/5ody4yffoe3q

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.

Details

Paper ID
lrec2024-ws-wildre-03
Pages
pp. 17-23
BibKey
rani-etal-2024-findings
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation
Location
undefined, undefined
Date
20 May 2024 25 May 2024

Authors

  • PR

    Priya Rani

  • GN

    Gaurav Negi

  • SJ

    Saroj Jha

  • SS

    Shardul Suryawanshi

  • AO

    Atul Kr. Ojha

  • PB

    Paul Buitelaar

  • JM

    John P. McCrae

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