Using Deep Time Delay Neural Network for Slot Filling in Spoken Language Understanding

Using Deep Time Delay Neural Network for Slot Filling in Spoken Language Understanding

Modeling the context of a target word is of fundamental importance in predicting the semantic label for slot filling task in Spoken Language Understanding (SLU). Although Recurrent Neural Network (RNN) has shown to successfully achieve the state-of-the-art results for SLU, and Bidirectional RNN is c...

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Bibliographic Details
Main Authors: Zhen Zhang, Hao Huang, Kai Wang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
Spoken Language Understanding
Time Delay Neural Network
residual network
skip concatenation
Online Access:https://www.mdpi.com/2073-8994/12/6/993

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https://www.mdpi.com/2073-8994/12/6/993

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