LSTM-based Deep Learning Models for non-factoid answer selection
Table 2: Baseline results of InsuranceQA
['[EMPTY]', '[BOLD] Validation', '[BOLD] Test1', '[BOLD] Test2']
From Row (D) to (F), CNN layers are built on the top of the biLSTM with different filter numbers. We set the filter width m=2, and we did not see better performance if we increase m to 3 or 4.