Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems using Reinforcement Learning
نویسندگان
چکیده
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.
منابع مشابه
Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems
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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