Task: Question Answering
Input (English): Chowdhury BIBREF14 and Thomas et al. BIBREF11 proposed methods that use linguistic phenomenons and two-stage SVM to classify DDIs. FBK-irst BIBREF10 is a follow-on work which applies kernel method to the existing model and outperforms it. Neural network based approaches have been proposed by several works. Liu et al. BIBREF9 employ CNN for DDI extraction for the first time which outperforms the traditional machine learning based methods.  Sahu et al. BIBREF12 proposed LSTM based DDI extraction approach and outperforms CNN based approach, since LSTM handles sentence as a sequence instead of slide windows. 
 Question: What are the existing methods mentioned in the paper?
Output (English): Chowdhury BIBREF14 and Thomas et al. BIBREF11 FBK-irst BIBREF10 Liu et al. BIBREF9 Sahu et al. BIBREF12