Semantic Slot Prediction on low corpus data using finite user

Bibliographic details on BERT for Joint Intent Classification and Slot Filling

Utterance-level intent detection and token-level slot filling are two key tasks for natural language understanding in task-oriented systems

bert for joint intent classification and slot filling 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

slot gratis gallina BERT is used for intent recognition and slot filling because it effectively integrates the semantic information of intention and slot labels