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Keywords: BiLSTM
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Journal Articles
ID-SF-Fusion: a cooperative model of intent detection and slot filling for natural language understanding
Available to Purchase
Journal:
Data Technologies and Applications
Data Technologies and Applications (2024) 58 (4): 590–607.
Published: 19 January 2024
... spoken language understanding called ID-SF-Fusion. Design/methodology/approach ID-SF-Fusion uses Bidirectional Encoder Representation from Transformers (BERT) and Bidirectional Long Short-Term Memory (BiLSTM) to extract effective word embedding and context vectors containing the whole sentence...
