@inproceedings{5191ff4ebd8e4f08b48c9befcc13faee,
title = "Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages",
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{\textquoteright}s final prediction on CodaLab. A total of fourteen teams registered for the shared task. Only five participants submitted the system for evaluation on CodaLab, with only two teams submitting the system description paper. All the submitted systems exceed baseline scores, with the best F1 Scores of 0.97, 0.54, 0.45, 0.60 and 0.49 for Bangla-Hindi-English, Hindi-English, Magahi-Hindi-English, Combined, and Maithili-Hindi-English, respectively. This significant improvement from the baseline score highlights notable progress in the performance of the systems. This underscores the advancement and refinement of methodologies, highlighting the potential for further innovation for code-mixed tasks.",
keywords = "Closely-related languages, Codemixing, Indian languages, Less-resourced languages, Sentiment",
author = "Priya Rani and Gaurav Negi and Jha, \{Saroj Kumar\} and Shardul Suryawanshi and Ojha, \{Atul Kr\} and Paul Buitelaar and McCrae, \{John P.\}",
note = "Publisher Copyright: {\textcopyright} 2024 ELRA Language Resource Association.; 7th Workshop on Indian Language Data: Resource and Evaluation, WILDRE 2024 ; Conference date: 25-05-2024",
year = "2024",
language = "English",
series = "Proceedings - International Conference on Computational Linguistics, COLING",
publisher = "Association for Computational Linguistics (ACL)",
pages = "17--23",
editor = "Jha, \{Girish Nath\} and Devi, \{Sobha Lalitha\} and Kalika Bali and Ojha, \{Atul Kr.\} and Ojha, \{Atul Kr.\}",
booktitle = "7th Workshop on Indian Language Data Resource and Evaluation at LREC-COLING-2024, WILDRE 2024 - Workshop Proceedings",
}