Abstract
This paper proposes a system that can detect and rephrase profanity in Chinese text. Rather than just masking detected profanity, we want to revise the input sentence by using inoffensive words while keeping their original meanings. 29 of such rephrasing rules were invented after observing sentences on real-word social websites. The overall accuracy of the proposed system is 85.56%- Anthology ID:
- W17-3003
- Volume:
- Proceedings of the First Workshop on Abusive Language Online
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, BC, Canada
- Editors:
- Zeerak Waseem, Wendy Hui Kyong Chung, Dirk Hovy, Joel Tetreault
- Venue:
- ALW
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 18–24
- Language:
- URL:
- https://aclanthology.org/W17-3003
- DOI:
- 10.18653/v1/W17-3003
- Cite (ACL):
- Hui-Po Su, Zhen-Jie Huang, Hao-Tsung Chang, and Chuan-Jie Lin. 2017. Rephrasing Profanity in Chinese Text. In Proceedings of the First Workshop on Abusive Language Online, pages 18–24, Vancouver, BC, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Rephrasing Profanity in Chinese Text (Su et al., ALW 2017)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W17-3003.pdf