LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, Torsten Zesch
Abstract
We present results for Subtask A and C of SemEval 2019 Shared Task 6. In Subtask A, we experiment with an embedding representation of postings and use BERT to categorize postings. Our best result reaches the 10th place (out of 103). In Subtask C, we applied a two-vote classification approach with minority fallback, which is placed on the 19th rank (out of 65).- Anthology ID:
- S19-2121
- 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:
- 678–682
- Language:
- URL:
- https://aclanthology.org/S19-2121
- DOI:
- 10.18653/v1/S19-2121
- Cite (ACL):
- Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, and Torsten Zesch. 2019. LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 678–682, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness (Aggarwal et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/S19-2121.pdf