A Bert-based Joint Model of Intent Recognition and Slot Filling Cross

BERT with external slot se- quence as 2nd sequence 77 Table 2: Comparison of BERT model We believe the pipeline approach to such user-developed

This BERT-based model is designed for slot filling tasks in natural language sentences, ideal for extracting specific information in applications like chatbots

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

mega ace slot Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models