LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)
Title | LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval) |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Bauwelinck, N, Jacobs, G, Hoste, V, Lefever, E |
Conference Name | Proceedings of the 13th International Workshop on Semantic Evaluation |
Publisher | Association for Computational Linguistics |
Conference Location | Minneapolis, Minnesota, USA |
Abstract | This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval). We considered a supervised classification-based approach to detect hate speech in English tweets, which combines a variety of standard lexical and syntactic features with specific features for capturing offensive language. Our experimental results show good classification performance on the training data, but a considerable drop in recall on the held-out test set. |
URL | https://www.aclweb.org/anthology/S19-2077 |
DOI | 10.18653/v1/S19-2077 |