@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.",
}

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.
Rani, Priya Negi, Gaurav Jha, Saroj Suryawanshi, Shardul Ojha, Atul Kr. Buitelaar, Paul McCrae, John P.
Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages