Task: Question Answering
Input (English): Finally, we combine our CNN and RNN models using a voting process. For each sentence in the test set, we apply several CNN and RNN models presented in Tables TABREF12 and TABREF14 and predict the class with the most votes. In case of a tie, we pick one of the most frequent classes randomly. 
 Question: How does their simple voting scheme work?
Output (English): we apply several CNN and RNN models presented in Tables TABREF12 and TABREF14 and predict the class with the most votes In case of a tie, we pick one of the most frequent classes randomly