Papers with RNN layer
Transformation Networks for Target-Oriented Sentiment Classification (P18-1)
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| Challenge: | a new model for sentiment classification uses attention instead of attention to classify sentiment polarities over individual opinion targets. |
| Approach: | They propose a model that uses a CNN layer to extract salient features from transformed word representations from a bi-directional RNN layer. |
| Outcome: | The proposed model achieves state-of-the-art on a few benchmarks. |
Direct Output Connection for a High-Rank Language Model (D18-1)
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| Challenge: | Neural network language models have played a central role in recent natural language processing advances. |
| Approach: | They propose a recurrent neural network language model that combines probability distributions computed from a final RNN layer and also middle layers. |
| Outcome: | The proposed language model achieves the best score on the Penn Treebank and WikiText-2 benchmark datasets. |