%0 Conference Proceedings %T LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model %A Mut Altin, Lutfiye Seda %A Bravo Serrano, Àlex %A Saggion, Horacio %Y May, Jonathan %Y Shutova, Ekaterina %Y Herbelot, Aurelie %Y Zhu, Xiaodan %Y Apidianaki, Marianna %Y Mohammad, Saif M. %S Proceedings of the 13th International Workshop on Semantic Evaluation %D 2019 %8 June %I Association for Computational Linguistics %C Minneapolis, Minnesota, USA %F mut-altin-etal-2019-lastus %X We present a bidirectional Long-Short Term Memory network for identifying offensive language in Twitter. Our system has been developed in the context of the SemEval 2019 Task 6 which comprises three different sub-tasks, namely A: Offensive Language Detection, B: Categorization of Offensive Language, C: Offensive Language Target Identification. We used a pre-trained Word Embeddings in tweet data, including information about emojis and hashtags. Our approach achieves good performance in the three sub-tasks. %R 10.18653/v1/S19-2120 %U https://aclanthology.org/S19-2120 %U https://doi.org/10.18653/v1/S19-2120 %P 672-677