Intent Detection and Slot Filling for Vietnamese

ABSTRACT We describe a joint model for intent detection and slot filling based on convolutional neural networks The proposed

Conditioning the Transformer encoder on multiple target inferences over the same corpus, , intent and multiple slot types, allows learning

bert for joint intent classification and slot filling intent classification and slot-filling tasks on Indonesian and English datasets 1 Introduction The pretrained language models, such as

pg789 slot We propose a joint model—named JointIDSF—for intent detection and slot filling JointBERT+CRF model, where we introduce the intent-slot