667 citations · 740 across the 6 of their papers we have counts for
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cs.CL2018★ 31 cited
Improving Variational Encoder-Decoders in Dialogue Generation
Xiaoyu Shen, Hui Su, Shuzi Niu +1
Variational encoder-decoders (VEDs) have shown promising results in dialogue generation. However, the latent variable distributions are usually approximated by a much simpler model…
cs.CL2017★ 667 cited
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Yanran Li, Hui Su, Xiaoyu Shen +3
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset…
cs.CL2017★ 29 cited
A Conditional Variational Framework for Dialog Generation
Xiaoyu Shen, Hui Su, Yanran Li +5
Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems. However, these latent variables are highly randomized, leading to…