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Aug 11, 2018 · Nowadays, the widely employed method for dialogue generation is neural conversation model whose main structure is composed by a recurrent neural ...
This work presents new training and decoding methods that improve the quality, coherence, and diversity of long responses generated using ...
Nowadays, the widely employed method for dialogue generation is neural conversation model whose main structure is composed by a recurrent neural networks (RNNs) ...
A Hybrid RNN-CNN Encoder for Neural Conversation Model. https://doi.org/10.1007/978-3-319-99247-1_14 ·. Journal: Knowledge Science, Engineering and Management ...
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In this paper, we build a hybrid neural conversation model with the capability of both response retrieval and generation, in order to combine the merits of ...
ABSTRACT. Intelligent personal assistant systems that are able to have multi- turn conversations with human users are becoming increasingly popular.
Jun 7, 2019 · Convolution Neural Network for sequences. C. Hybrid model CNN RNN. This model combines the benefits of both CNN and RNN, where RNN helps to ...
Oct 30, 2018 · We propose an attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition, which models both the spatial and temporal ...
Missing: Conversation | Show results with:Conversation
This work proposes a novel hybrid deep learning model that combines convolutional and recurrent neural networks for fake news classification. The model was ...
Nov 3, 2019 · Experimental results on Twitter and Foursquare data show that the proposed model outperforms both retrieval-based methods and generation-based ...