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Found 6 papers, 2 papers with code
Transferable Dialogue Systems and User Simulators
Our goal is to develop a modelling framework that can incorporate new dialogue scenarios through self-play between the two agents.
Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
Cross-domain natural language generation (NLG) is still a difficult task within spoken dialogue modelling.
Feudal Dialogue Management with Jointly Learned Feature Extractors
Reinforcement learning (RL) is a promising dialogue policy optimisation approach, but traditional RL algorithms fail to scale to large domains.
Neural User Simulation for Corpus-based Policy Optimisation of Spoken Dialogue Systems
The ABUS is based on hand-crafted rules and its output is in semantic form.
Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems
The ABUS is based on hand-crafted rules and its output is in semantic form.
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition.
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