Papers with Dialogue management

1 papers
Modeling Multi-Action Policy for Task-Oriented Dialogues (D19-1)

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Challenge: Existing approaches to learn dialogue management only predict one action per turn, limiting expressive power of the conversational agent and introducing unnecessary turns of interactions.
Approach: They propose a model based on a recurrent cell called gated Continue-Act-Slots that overcomes the limitations of existing models and proposes a novel policy model that predicts multiple acts for each turn.
Outcome: The proposed model outperforms existing models on the task of predicting multiple acts for each turn.

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