Abstract
This paper describes our system that participated in LT-EDI-ACL2022- Homophobia/Transphobia Detection in Social Media. Sexual minorities face a lot of unfair treatment and discrimination in our world. This creates enormous stress and many psychological problems for sexual minorities. There is a lot of hate speech on the internet, and Homophobia/Transphobia is the one against sexual minorities. Identifying and processing Homophobia/ Transphobia through natural language processing technology can improve the efficiency of processing Homophobia/ Transphobia, and can quickly screen out Homophobia/Transphobia on the Internet. The organizer of LT-EDI-ACL2022- Homophobia/Transphobia Detection in Social Media constructs a Homophobia/ Transphobia detection dataset based on YouTube comments for English and Tamil. We use a Roberta -based approach to conduct Homophobia/ Transphobia detection experiments on the dataset of the competition, and get better results.- Anthology ID:
- 2022.ltedi-1.19
- Volume:
- Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Bharathi Raja Chakravarthi, B Bharathi, John P McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
- Venue:
- LTEDI
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 155–160
- Language:
- URL:
- https://aclanthology.org/2022.ltedi-1.19
- DOI:
- 10.18653/v1/2022.ltedi-1.19
- Cite (ACL):
- Abulimiti Maimaitituoheti. 2022. ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 155–160, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- ABLIMET @LT-EDI-ACL2022: A Roberta based Approach for Homophobia/Transphobia Detection in Social Media (Maimaitituoheti, LTEDI 2022)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/2022.ltedi-1.19.pdf