Abstract
This paper presents the Dravidian Offensive Span Identification Dataset (DOSA) for under-resourced Tamil-English and Kannada-English code-mixed text. The dataset addresses the lack of code-mixed datasets with annotated offensive spans by extending annotations of existing code-mixed offensive language identification datasets. It provides span annotations for Tamil-English and Kannada-English code-mixed comments posted by users on YouTube social media. Overall the dataset consists of 4786 Tamil-English comments with 6202 annotated spans and 1097 Kannada-English comments with 1641 annotated spans, each annotated by two different annotators. We further present some of our baseline experimental results on the developed dataset, thereby eliciting research in under-resourced languages, leading to an essential step towards semi-automated content moderation in Dravidian languages. The dataset is available in https://github.com/teamdl-mlsg/DOSA- Anthology ID:
- 2021.dravidianlangtech-1.2
- Volume:
- Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages
- Month:
- April
- Year:
- 2021
- Address:
- Kyiv
- Venue:
- DravidianLangTech
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 10–17
- Language:
- URL:
- https://aclanthology.org/2021.dravidianlangtech-1.2
- DOI:
- Cite (ACL):
- Manikandan Ravikiran and Subbiah Annamalai. 2021. DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset. In Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, pages 10–17, Kyiv. Association for Computational Linguistics.
- Cite (Informal):
- DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset (Ravikiran & Annamalai, DravidianLangTech 2021)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2021.dravidianlangtech-1.2.pdf
- Code
- manikandan-ravikiran/dosa
- Data
- OLID