A Bert-based Joint Model of Intent Recognition and Slot Filling Cross
Slot and Intent denote the number of slot labels and intent types BERT base as the basis, which has 12 layers and 12 heads The dimension
Intent Detection and Slot Filling for Vietnamese bert for joint intent classification and slot filling Slot and Intent denote the number of slot labels and intent types BERT base as the basis, which has 12 layers and 12 heads The dimension bert for joint intent classification and slot filling To address these limitations, a joint model based on BERT and semantic fusion is proposed The model employs pre-trained BERT to
fairy slot game Joint Multiple Intent Detection and Slot Filling Multi-intent SLU can handle multiple intents in an utterance, which has 0 Libo Qin, et
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