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
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/S19-2094.pdf