Papers with satisfactory entity match rate

1 papers
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures (P18-1)

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Challenge: Existing solutions to task-oriented dialogue systems follow pipeline designs which introduces complexity and fragility.
Approach: They propose a novel sequence-to-sequence (seq2sequ) model which tracks dialogue believes and a two stage copynet instantiation which emonstrates good scalability.
Outcome: The proposed framework outperforms state-of-the-art pipeline-based methods on large datasets and retains satisfactory entity match rate on out-of vocabulary (OOV) cases where pipeline-designed competitors totally fail.

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