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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Journal article |
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2014
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