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An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking (P18-1)

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Challenge: a dialogue state tracker is a core component in most of today's spoken dialogue systems . slot-filling dialogues are composed of a predefined set of slots that need to be filled through the conversation .
Approach: They propose an E2E architecture that extracts unknown slot values while still achieving state-of-the-art accuracy on the standard DSTC2 benchmark.
Outcome: The proposed architecture achieves state-of-the-art accuracy on the DSTC2 benchmark while retaining predefined slot values.

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