Huangpan Zhang, Michael Wojatzki, Tobias Horsmann, Torsten Zesch. ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter. In Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad, editors, Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. pages 441-446, Association for Computational Linguistics, 2019. [doi]
@inproceedings{ZhangWHZ19,
title = {ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter},
author = {Huangpan Zhang and Michael Wojatzki and Tobias Horsmann and Torsten Zesch},
year = {2019},
url = {https://aclweb.org/anthology/papers/S/S19/S19-2078/},
researchr = {https://researchr.org/publication/ZhangWHZ19},
cites = {0},
citedby = {0},
pages = {441-446},
booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019},
editor = {Jonathan May and Ekaterina Shutova and Aurélie Herbelot and Xiaodan Zhu and Marianna Apidianaki and Saif M. Mohammad},
publisher = {Association for Computational Linguistics},
isbn = {978-1-950737-06-2},
}