77 citations · 191 across the 5 of their papers we have counts for
Showing 2015Show all
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cs.LG2015★ 51 cited
Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
Pei-Hao Su, David Vandyke, Milica Gasic +4
To train a statistical spoken dialogue system (SDS) it is essential that an accurate method for measuring task success is available. To date training has relied on presenting a tas…
cs.CL2015★ 77 cited
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking
Tsung-Hsien Wen, Milica Gasic, Dongho Kim +4
The natural language generation (NLG) component of a spoken dialogue system (SDS) usually needs a substantial amount of handcrafting or a well-labeled dataset to be trained on. The…