Abstract
The objective of this paper is to provide a description for a classification system built for SemEval-2019 Task 6: OffensEval. This system classifies a tweet as either offensive or not offensive (Sub-task A) and further classifies offensive tweets into categories (Sub-tasks B - C). The system consists of two phases; a brute-force grid search to find the best learners amongst a given set and an ensemble of a subset of these best learners. The system achieved an F1-score of 0.728, ranking in subtask A, an F1-score score of 0.616 in subtask B and an F1-score of 0.509 in subtask C.- Anthology ID:
- S19-2144
- 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:
- 823–828
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/S19-2144/
- DOI:
- 10.18653/v1/S19-2144
- Cite (ACL):
- Zeyad El-Zanaty. 2019. Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets.. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 823–828, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets. (El-Zanaty, SemEval 2019)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/S19-2144.pdf