RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification

Niloofar Safi Samghabadi, Deepthi Mave, Sudipta Kar, Thamar Solorio


Abstract
This paper presents our system for “TRAC 2018 Shared Task on Aggression Identification”. Our best systems for the English dataset use a combination of lexical and semantic features. However, for Hindi data using only lexical features gave us the best results. We obtained weighted F1-measures of 0.5921 for the English Facebook task (ranked 12th), 0.5663 for the English Social Media task (ranked 6th), 0.6292 for the Hindi Facebook task (ranked 1st), and 0.4853 for the Hindi Social Media task (ranked 2nd).
Anthology ID:
W18-4402
Volume:
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venues:
COLING | TRAC | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
12–18
Language:
URL:
https://aclanthology.org/W18-4402
DOI:
Bibkey:
Cite (ACL):
Niloofar Safi Samghabadi, Deepthi Mave, Sudipta Kar, and Thamar Solorio. 2018. RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification. In Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), pages 12–18, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification (Safi Samghabadi et al., 2018)
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PDF:
https://aclanthology.org/W18-4402.pdf