2 research outputs found

    Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems using Reinforcement Learning

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    Abstract Adaptive generation of referring expressions in dialogues is beneficial in terms of grounding between the dialogue partners. However, handcoding adaptive REG policies is hard. We present a reinforcement learning framework to automatically learn an adaptive referring expression generation policy for spoken dialogue systems
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