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Using Reinforcement Learning to Model Incrementality in a Fast-Paced Dialogue Game
We apply Reinforcement Learning (RL) to the problem of incremental dialogue policy learning in the context of a fast-paced dialogue game.
PentoRef: A Corpus of Spoken References in Task-oriented Dialogues
PentoRef is a corpus of task-oriented dialogues collected in systematically manipulated settings.
The Distress Analysis Interview Corpus of human and computer interviews
The Distress Analysis Interview Corpus (DAIC) contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post traumatic stress disorder.
A Multimodal Corpus of Rapid Dialogue Games
This paper presents a multimodal corpus of spoken human-human dialogues collected as participants played a series of Rapid Dialogue Games (RDGs).
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