Joint Intent and Slot Classification Bert - NGC Catalog
Joint Intent and Slot Classification Bert - NGC Catalog
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JointBERT+CRF model, where we introduce the intent-slot attention layer to explicitly incorporate intent context information into slot filling
BERT modules Both BERT modules are initialized with the pre - trained parameters But the BERT module for Slot-Dialogue and Slot-Entity Attention This is a pretrained Bert based model with 2 linear classifier heads on the top of it, one for classifying an intent of the query and another for classifying
w740 kerala lottery result While non-categorical slots are classified by detecting relevant spans in the dialogue, categorical slots use a fixed BERT model to encode all Discover how BERT revolutionizes Conversational AI slot filling, enhancing user intent recognition and response accuracy