nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection
Jelena Mitrović, Bastian Birkeneder, Michael Granitzer · 2019
This paper presents our submission for the SemEval shared task 6, sub-task A on the identification of offensive language.Our proposed model, C-BiGRU, combines a Convolutional Neural Network (CNN) with a bidirectional Recurrent Neural Network (RNN).We utilize word2vec to capture the semantic similarities between words.This composition allows us to extract long term dependencies in tweets and distinguish between offensive and non-offensive tweets.In addition, we evaluate our approach on a different dataset and show that our model is capable of detecting online aggressiveness in both English and German tweets.Our model achieved a macro F1-score of 79.40% on the SemEval dataset.