SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models

Flor Miriam Plaza del Arco, M. Dolores Molina González, Alfonso Ureña-López, Maite Martin


Abstract
This paper describes the participation of SINAI team at Task 12: OffensEval 2: Multilingual Offensive Language Identification in Social Media. In particular, the participation in Sub-task A in English which consists of identifying tweets as offensive or not offensive. We preprocess the dataset according to the language characteristics used on social media. Then, we select a small set from the training set provided by the organizers and fine-tune different Transformerbased models in order to test their effectiveness. Our team ranks 20th out of 85 participants in Subtask-A using the XLNet model.
Anthology ID:
2020.semeval-1.211
Volume:
Proceedings of the Fourteenth Workshop on Semantic Evaluation
Month:
December
Year:
2020
Address:
Barcelona (online)
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1622–1627
Language:
URL:
https://aclanthology.org/2020.semeval-1.211
DOI:
10.18653/v1/2020.semeval-1.211
Bibkey:
Cite (ACL):
Flor Miriam Plaza del Arco, M. Dolores Molina González, Alfonso Ureña-López, and Maite Martin. 2020. SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1622–1627, Barcelona (online). International Committee for Computational Linguistics.
Cite (Informal):
SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models (Plaza del Arco et al., SemEval 2020)
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PDF:
https://aclanthology.org/2020.semeval-1.211.pdf