Task: Question Answering
Input (English): In both cases, we denote with the word model one of the possible combinations of classic/statistical LSA and a classifier. The used classifiers are Support Vector Machine (SVM), Logistic regression (Log.Reg), Random Forest (RF) and gradient boosting (XGB). Where applicable, we compare our results with existing results in the literature. 
 Question: What are the different methods used for different corpora?
Output (English): Support Vector Machine (SVM), Logistic regression (Log.Reg), Random Forest (RF) and gradient boosting (XGB)