Detecting Interrogative Utteranceswith Recurrent Neural Networks
Table 2: Test F1 score of the models trained on MSR-Skype. First two columns use neither dropout (shortened as D) nor BN.
['[EMPTY]', 'GRU', 'LSTM', 'GRU, D', 'LSTM, D', 'GRU, BN', 'LSTM, BN']
We can observe a few tendencies in the obtained results depending on what kind of variations are applied to the models (c1 or c2, GRU or LSTM, dropout or batch normalization and types of inputs).