Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language
Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, Diana Trandabat
Abstract
User’s content share through social media has reached huge proportions nowadays. However, along with the free expression of thoughts on social media, people risk getting exposed to various aggressive statements. In this paper, we present a system able to identify and classify offensive user-generated content.- Anthology ID:
- S19-2113
- 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:
- 635–638
- Language:
- URL:
- https://aclanthology.org/S19-2113
- DOI:
- 10.18653/v1/S19-2113
- Cite (ACL):
- Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, and Diana Trandabat. 2019. Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 635–638, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language (Patras et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/S19-2113.pdf