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Found 4 papers, 1 papers with code
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.
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
This paper presents two ways of dealing with scarce data in semantic decoding using N-Best speech recognition hypotheses.
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.
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management
Firstly, to speed up the learning process, two sample-efficient neural networks algorithms: trust region actor-critic with experience replay (TRACER) and episodic natural actor-critic with experience replay (eNACER) are presented.
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