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
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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/author-url/S19-2087.pdf