Papers by Zhongfu Chen

1 papers
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling (P19-1)

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Challenge: Existing models for slot filling and intent detection lack bi-directional interrelated connections between the intent and slots.
Approach: They propose a bi-directional interrelated model for slot filling and intent detection that uses an SF-ID network to establish direct connections between the two tasks to promote each other mutually.
Outcome: The proposed model improves on ATIS and Snips datasets in sentence-level semantic frame accuracy and improves performance on the two tasks.

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