id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-7525	Wang, Yuan; Yang, Zhoumeng; Zhang, Xiyan	Improving NLP Accuracy with Stack-Propagation and Knowledge Distillation: A Joint Model for Intent Detection and Slot Filling	2023	4	.pdf	application/pdf	3220	167	51	To address the issue of error propagation caused by pipelined approaches, researchers have proposed joint models in recent times. Recently, there has been a growing interest in joint models to address the issue of error propagation caused by pipelined approaches in slot-filling and intent detection tasks.	cache/fcis-7525.pdf	txt/fcis-7525.txt