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Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model

Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, Vitor Nogueira


Abstract
This paper shares insight from participating in SemEval-2019 Task 5. The main propose of this system-description paper is to facilitate the reader with replicability and to provide insightful analysis of the developed system. Here in Vista.ue, we proposed a single multilingual hate speech detection model. This model was ranked 46/70 for English Task A and 31/43 for English Task B. Vista.ue was able to rank 38/41 for Spanish Task A and 22/25 for Spanish Task B.
Anthology ID:
S19-2094
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:
524–528
Language:
URL:
https://aclanthology.org/S19-2094
DOI:
10.18653/v1/S19-2094
Bibkey:
Cite (ACL):
Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma, and Vitor Nogueira. 2019. Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 524–528, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model (Raiyani et al., SemEval 2019)
Copy Citation:
PDF:
https://aclanthology.org/S19-2094.pdf