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
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S19-2121.pdf