Sep 28, 2020 · We optimized a neural conversation model to the entrainment scores using reinforcement learning so that the system can control the degree of entrainment of the ...
In this paper, we introduce a reinforcement learning (RL) framework [15], [19] to optimize a neural conversation model for automatic entrainment scores.
Experimental results showed that the proposed entrainable neural conversation model generated comparable or more natural responses than conventional models and ...
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Entrainment has a high correlation with dialogue success, naturalness, and engagement. In this paper, we define entrainment scores based on the word ...
Entrainable neural conversation model based on reinforcement learning. S Kawano, M Mizukami, K Yoshino, S Nakamura. IEEE Access 8, 178283-178294, 2020. 6, 2020.
We try to build a neural conversation model optimized for these entrainment scores by using reinforcement learning. Experimental results showed that the ...
Missing: Entrainable | Show results with:Entrainable
Jun 22, 2015 · ... models for conversation. Reinforcement learning was/is the current state of the art, and combining it with deep learning is very fruitful.
Missing: Entrainable | Show results with:Entrainable
This work proposes to use a neural network model to perform the similarity measure for entrainment, which is context-aware, and further leverages a novel ...
Sep 21, 2021 · Neural conversation models are end-to-end schemes that generate system re- sponses from user utterances. However, it is challenging to ...
Jun 10, 2024 · In this work we introduce Coprocessor Actor Critic, a novel, model-based reinforcement learning (MBRL) approach for learning neural coprocessor policies for ...