I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter

Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos, José Luis Arjona Fernández


Abstract
This paper describes the systems developed for I2C Group to participate on Subtasks A and B in English, and Subtask A in Turkish and Arabic in OffensEval (Task 12 of SemEval 2020). In our experiments we compare three architectures we have developed, two based on Transformer and the other based on classical machine learning algorithms. In this paper, the proposed architectures are described, and the results obtained by our systems are presented.
Anthology ID:
2020.semeval-1.259
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Editors:
Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova
Venue:
SemEval
SIG:
SIGLEX
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1968–1977
Language:
URL:
https://aclanthology.org/2020.semeval-1.259
DOI:
10.18653/v1/2020.semeval-1.259
Bibkey:
Cite (ACL):
Victoria Pachón Álvarez, Jacinto Mata Vázquez, José Manuel López Betanzos, and José Luis Arjona Fernández. 2020. I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1968–1977, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter (Pachón Álvarez et al., SemEval 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.semeval-1.259.pdf