Enriched Pre-trained Transformers for Joint Slot Filling and Intent
Enriched Pre-trained Transformers for Joint Slot Filling and Intent
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The experimental results show that the LC-BERT model has better classification and slot filling effects than traditional models, proving this method's
Bert Slot 13922 Rine Van Till 13939 Alfred Tinmen 12732 Fred N Hosford 12759 James L Davidson 12769 Bert Petter 12887 John Hulst 12895 A J In this example, we demonstrate how to use GluonNLP to fine-tune a pretrained BERT model for joint intent classification and slot labelling We choose to
wicked reels slot Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding in task-oriented systems In this work, propose a joint intent classification and slot filling model based on BERT