Abstract
This paper presents the participation of the LaSTUS/TALN team at TRAC-2020 Trolling, Aggression and Cyberbullying shared task. The aim of the task is to determine whether a given text is aggressive and contains misogynistic content. Our approach is based on a bidirectional Long Short Term Memory network (bi-LSTM). Our system performed well at sub-task A, aggression detection; however underachieved at sub-task B, misogyny detection.- Anthology ID:
- 2020.trac-1.13
- Volume:
- Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri, Marcos Zampieri, Shervin Malmasi, Vanessa Murdock, Daniel Kadar
- Venue:
- TRAC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 83–86
- Language:
- English
- URL:
- https://aclanthology.org/2020.trac-1.13
- DOI:
- Cite (ACL):
- Lütfiye Seda Mut Altın, Alex Bravo, and Horacio Saggion. 2020. LaSTUS/TALN at TRAC - 2020 Trolling, Aggression and Cyberbullying. In Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, pages 83–86, Marseille, France. European Language Resources Association (ELRA).
- Cite (Informal):
- LaSTUS/TALN at TRAC - 2020 Trolling, Aggression and Cyberbullying (Mut Altın et al., TRAC 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.trac-1.13.pdf