  In this paper we present our approach and the system description for Sub-task
A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive
Language in Social Media. Sub-task A involves identifying if a given tweet is
offensive or not, and Sub Task B involves detecting if an offensive tweet is
targeted towards someone (group or an individual). Our models for Sub-task A is
based on an ensemble of Convolutional Neural Network, Bidirectional LSTM with
attention, and Bidirectional LSTM + Bidirectional GRU, whereas for Sub-task B,
we rely on a set of heuristics derived from the training data and manual
observation. We provide detailed analysis of the results obtained using the
trained models. Our team ranked 5th out of 103 participants in Sub-task A,
achieving a macro F1 score of 0.807, and ranked 8th out of 75 participants in
Sub Task B achieving a macro F1 of 0.695.
