A Fast Attention Network for Joint Intent Detection and Slot Filling on
A Fast Attention Network for Joint Intent Detection and Slot Filling on
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BERT for Joint Intent Classification and Slot Filling monologgJointBERT • • 28 Feb 2019 Intent classification and slot filling are two essential tasks for
Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding in task-oriented systems Happy Sunday wishes!! Let's play a fun new slot machine Back Hat Burt Bust out! New
lucky larry''s lobstermania 2 slot The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The BERT-Joint Transformer-NLU Figure 1: Model architectures for joint learning of intent and slot filling: