Slim: Explicit Slot-Intent Mapping with Bert for Joint
Slim: Explicit Slot-Intent Mapping with Bert for Joint
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Conditioning the Transformer encoder on multiple target inferences over the same corpus, , intent and multiple slot types, allows learning
The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The Slot Filling on ATIS ; 1 CTRAN ; 2 Bi-model with a decoder ; 3 Joint BERT ; 4 JointBERT-CAE
golden goddess slot machine jogar In this paper, we propose a multi-intent SLU framework, called SLIM, to jointly learn multi-intent detection and slot filling based on BERT To fully exploit This is a commission slot for GN Paws off the rest of you