Lütfiye Seda Mut Altın

Also published as: Lutfiye Seda Mut Altin


LaSTUS/TALN at TRAC - 2020 Trolling, Aggression and Cyberbullying
Lütfiye Seda Mut Altın | Alex Bravo | Horacio Saggion
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying

This paper presents the participation of the LaSTUS/TALN team at TRAC-2020 Trolling, Aggression and Cyberbullying shared task. The aim of the task is to determine whether a given text is aggressive and contains misogynistic content. Our approach is based on a bidirectional Long Short Term Memory network (bi-LSTM). Our system performed well at sub-task A, aggression detection; however underachieved at sub-task B, misogyny detection.


LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model
Lutfiye Seda Mut Altin | Àlex Bravo Serrano | Horacio Saggion
Proceedings of the 13th International Workshop on Semantic Evaluation

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.