Abstract
This paper examines different approaches and models towards offensive tweet classification which were used as a part of the OffensEval 2019 competition. It reviews Tweet preprocessing, techniques for overcoming unbalanced class distribution in the provided test data, and comparison of multiple attempted machine learning models.- Anthology ID:
- S19-2123
- 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:
- 691–695
- Language:
- URL:
- https://aclanthology.org/S19-2123
- DOI:
- 10.18653/v1/S19-2123
- Cite (ACL):
- Alex Nikolov and Victor Radivchev. 2019. Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 691–695, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles (Nikolov & Radivchev, SemEval 2019)
- PDF:
- https://preview.aclanthology.org/autopr/S19-2123.pdf