Pytorch implementation of JointBERT: BERT for Joint Intent

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➡️【Mk.com】✅Play your favorite✅ casino games directly on your computer or mobile phone for fun and to win money. Double your deposit now with a 100% casino bonus! ✅  Dan bert for joint intent classification and slot filling

BERT, to develop a robust zero-shot slot filling model mcBERT uses BERT to initialize the two encoders, the query encoder and key encoder

A Bert-based Joint Model of Intent Recognition and Slot Filling Cross-correlation Abstract: Intent recognition and slot filling are two key steps in natural Intent Detection and Slot Filling is the task of interpreting user commandsqueries by extracting the intent and the relevant slots 2 Business

dear nagaland state lottery sambad Predict intent and slot at the same time from one BERT model ; total_loss = intent_loss + coef * slot_loss (Change coef with --slot_loss_coef The experimental results show that the LC-BERT model has better classification and slot filling effects than traditional models, proving this method's