Papers with Recurrent and convolutional neural networks
Bridging CNNs, RNNs, and Weighted Finite-State Machines (P18-1)
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| Challenge: | recurrent and convolutional neural networks are useful for encoding natural language utterances. |
| Approach: | They propose a model that combines neural representation learning with weighted finite-state automatas to learn a soft version of traditional surface patterns. |
| Outcome: | The proposed model is comparable or better than a BiLSTM baseline and a CNN baseline on three text classification tasks. |