Joint agricultural intent detection and slot filling based on enhanced
Joint agricultural intent detection and slot filling based on enhanced
Joint Multiple Intent Detection and Slot Filling Via Self-Distillation Abstract: Intent detection and slot filling are two main tasks in natural language
The performance of slot filling is crucial for spoken language comprehension Aiming at the problem of low filling accuracy, an En-training model for slot In this paper, we explore retrieval-based methods for tackling the few-shot intent classification and slot filling tasks due to their advantage of 1) better
apunka ka game The slot filling task extracts useful fine-grained information about traffic events from traffic-related tweets We experiment with several deep learning based sign in Inproceedings, BIT's Slot-Filling Method for TAC-KBP 2013 S Xu, C Zhang, Z Niu, R Mei, J Chen, J Zhang, and H Fu TAC, NIST,
