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arXiv · 2103.02878

An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

Shuangyong Song·Kexin Wang·Chao Wang·Haiqing Chen·Huan Chen
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Abstract

In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses. However, for real application in online systems, high QPS (queries per second, an indicator of the flow capacity of on-line systems) is required, and a dynamic vocabulary mechanism has been proved available in improving speed of generative models. In this paper, we proposed an emotion-controlled dialog response generation model based on the dynamic vocabulary mechanism, and the experimental results show the benefit of this model.

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Shuangyong Song, Kexin Wang, Chao Wang, Haiqing Chen, Huan Chen. 2021-03-04. An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary. https://arxiv.org/abs/2103.02878

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