A convolutional neural network for modelling sentences
The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of sentences. The network uses Dynamic k-Max Pooling, a global pooling operatio...
| Автори: | , , |
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| Формат: | Journal article |
| Опубліковано: |
Association for Computational Linguistics
2014
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