Papers by Pei-Chieh Yuan

1 papers
How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues (N18-1)

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Challenge: Spoken language understanding (SLU) is an essential component in conversational systems.
Approach: They propose a universal time-decay attention mechanism that can be used to decay utterances on the sentence-level and speaker-level.
Outcome: The proposed model significantly improves the state-of-the-art model for contextual understanding performance on the benchmark Dialogue State Tracking Challenge (DSTC4) dataset.

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