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SLIM: EXPLICIT SLOT-INTENT MAPPING WITH BERT FOR JOINT

SLIM: EXPLICIT SLOT-INTENT MAPPING WITH BERT FOR JOINT

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BERT-Joint Transformer-NLU Figure 1: Model architectures for joint learning of intent and slot filling:

The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The

bert for joint intent classification and slot filling Created almost 200 years ago by Victorian horticulturalist Robert Holford, discover how one man's passion for plants created the world's most beautiful

bert stevens poker Predict intent and slot at the same time from one BERT model ; total_loss = intent_loss + coef * slot_loss (Change coef with --slot_loss_coef

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