Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems

13 Aug 2015Pei-Hao SuDavid VandykeMilica GasicDongho KimNikola MrksicTsung-Hsien WenSteve Young

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 task to either simulated or paid users and inferring the dialogue's success by observing whether this presented task was achieved or not... (read more)

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