The best system of ours, an end-to-end LSTM architecture initialised with fasttext embeddings has shown promising results in terms of F-score (0.73) compared to the state of the art classifier from<cite> Krishna et al. (2016)</cite> (0.74) and outperformed it in terms of accuracy (77.68%).