Proceedings chapter CC BY 4.0
ltl.uni-due at SemEval 2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter
In this paper, we present our contribution to SemEval 2019 Task 5 Multilingual Detection of Hate, specifically in the Subtask A (English and Spanish). We compare different configurations of shallow and deep learning approaches on the English data and use the system that performs best in both sub-tasks. The resulting SVM-based system with lexico-semantic features (n-grams and embeddings) is ranked 23rd out of 69 on the English data and beats the baseline system. On the Spanish data our system is ranked 25th out of 39.
Could not load citation form.
Use and reproduction:This work may be used under a
Creative Commons Attribution 4.0 License (CC BY 4.0)