Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language

Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, Diana Trandabat


Abstract
User’s content share through social media has reached huge proportions nowadays. However, along with the free expression of thoughts on social media, people risk getting exposed to various aggressive statements. In this paper, we present a system able to identify and classify offensive user-generated content.
Anthology ID:
S19-2113
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:
635–638
Language:
URL:
https://aclanthology.org/S19-2113
DOI:
10.18653/v1/S19-2113
Bibkey:
Cite (ACL):
Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, and Diana Trandabat. 2019. Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 635–638, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language (Patras et al., SemEval 2019)
Copy Citation:
PDF:
https://aclanthology.org/S19-2113.pdf