Natural Language Processing Advancements By Deep Learning: A Survey
TABLE V: The classification accuracy of state-of-the-art methods, evaluated on the AG News Corpus dataset [zhang2015character].
['Model', 'Accuracy']
Some models used the combination of both RNNs and CNNs for text classification such as [lai2015recurrent]. This is a recurrent architecture in addition to max-pooling with an effective word representation method, and demonstrates superiority compared to simple window-based neural network approaches. Another unified architecture is the C-LSTM proposed in [zhou2015c] for sentence and document modeling in classification.