The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets
Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau, Abhishek Kumar
Abstract
The massive growth of user-generated web content through blogs, online forums and most notably, social media networks, led to a large spreading of hatred or abusive messages which have to be moderated. This paper proposes a supervised approach to hate speech detection towards immigrants and women in English tweets. Several models have been developed ranging from feature-engineering approaches to neural ones.- Anthology ID:
- S19-2087
- Volume:
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Editors:
- Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 489–493
- Language:
- URL:
- https://aclanthology.org/S19-2087
- DOI:
- 10.18653/v1/S19-2087
- Cite (ACL):
- Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau, and Abhishek Kumar. 2019. The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 489–493, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets (Chiril et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/S19-2087.pdf