Papers by Pei-Hsin Wang

1 papers
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval (2020.findings-emnlp)

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Challenge: Existing neural task-oriented dialogue systems cannot be encoded by memory networks, such as memory networks.
Approach: They propose an end-to-end trainable text-to SQL guided framework to learn a neural agent that interacts with KBs using the generated SQL queries.
Outcome: The proposed method significantly improves on the AirDialogue dataset, which contains the conversations of customers booking flight tickets from the agent.

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