Papers with spoken language understanding system

1 papers
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention (P18-2)

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Challenge: Experimental results show the effectiveness of our slot filling model at addressing the OOV problem.
Approach: They propose a generative neural network model for slot filling based on a sequence-to-sequence model and a pointer network.
Outcome: The proposed model is able to predict slot values on spoken language data.

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