@inproceedings{ravikiran-etal-2022-findings,
title = "Findings of the Shared Task on Offensive Span Identification from{C}ode-Mixed {T}amil-{E}nglish Comments",
author = "Ravikiran, Manikandan and
Chakravarthi, Bharathi Raja and
Madasamy, Anand Kumar and
S, Sangeetha and
Rajalakshmi, Ratnavel and
Thavareesan, Sajeetha and
Ponnusamy, Rahul and
Mahadevan, Shankar",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Krishnamurthy, Parameswari and
Sherly, Elizabeth and
Mahesan, Sinnathamby",
booktitle = "Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.dravidianlangtech-1.40",
doi = "10.18653/v1/2022.dravidianlangtech-1.40",
pages = "261--270",
abstract = "Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in code-mixed Dravidian languages is limited to classifying whole comments without identifying part of it contributing to offensiveness. Such limitation is primarily due to the lack of annotated data for offensive spans. Accordingly, in this shared task, we provide Tamil-English code-mixed social comments with offensive spans. This paper outlines the dataset so released, methods, and results of the submitted systems.",
}
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%0 Conference Proceedings
%T Findings of the Shared Task on Offensive Span Identification fromCode-Mixed Tamil-English Comments
%A Ravikiran, Manikandan
%A Chakravarthi, Bharathi Raja
%A Madasamy, Anand Kumar
%A S, Sangeetha
%A Rajalakshmi, Ratnavel
%A Thavareesan, Sajeetha
%A Ponnusamy, Rahul
%A Mahadevan, Shankar
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Krishnamurthy, Parameswari
%Y Sherly, Elizabeth
%Y Mahesan, Sinnathamby
%S Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F ravikiran-etal-2022-findings
%X Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in code-mixed Dravidian languages is limited to classifying whole comments without identifying part of it contributing to offensiveness. Such limitation is primarily due to the lack of annotated data for offensive spans. Accordingly, in this shared task, we provide Tamil-English code-mixed social comments with offensive spans. This paper outlines the dataset so released, methods, and results of the submitted systems.
%R 10.18653/v1/2022.dravidianlangtech-1.40
%U https://aclanthology.org/2022.dravidianlangtech-1.40
%U https://doi.org/10.18653/v1/2022.dravidianlangtech-1.40
%P 261-270
Markdown (Informal)
[Findings of the Shared Task on Offensive Span Identification fromCode-Mixed Tamil-English Comments](https://aclanthology.org/2022.dravidianlangtech-1.40) (Ravikiran et al., DravidianLangTech 2022)
ACL
- Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha S, Ratnavel Rajalakshmi, Sajeetha Thavareesan, Rahul Ponnusamy, and Shankar Mahadevan. 2022. Findings of the Shared Task on Offensive Span Identification fromCode-Mixed Tamil-English Comments. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 261–270, Dublin, Ireland. Association for Computational Linguistics.