HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition

Victor Nina-Alcocer


Abstract
This paper presents a detailed description of our participation in task 5 on SemEval-2019. This task consists of classifying English and Spanish tweets that contain hate towards women or immigrants. We carried out several experiments; for a finer-grained study of the task, we analyzed different features and designing architectures of neural networks. Additionally, to face the lack of hate content in tweets, we include data augmentation as a technique to in- crease hate content in our datasets.
Anthology ID:
S19-2072
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:
409–415
Language:
URL:
https://aclanthology.org/S19-2072
DOI:
10.18653/v1/S19-2072
Bibkey:
Cite (ACL):
Victor Nina-Alcocer. 2019. HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 409–415, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition (Nina-Alcocer, SemEval 2019)
Copy Citation:
PDF:
https://aclanthology.org/S19-2072.pdf