Intent-Slot Correlation Modeling for Joint Intent Prediction

This paper addresses zero-shot slot filling, which tries to build a system that can generalize to unseen slot types without any training data

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This paper addresses zero-shot slot filling, which tries to build a system that can generalize to unseen slot types without any training data

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Abstract Slot filling and intent prediction are basic tasks in capturing semantic frame of human utterances Slots and intent have strong correlation for

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A deep learning based multi-task ensemble model for intent detection and slot filling in spoken language understanding In Neural Information Processing, Long