id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
kd17cr60200	Jinfeng Lin	Accurate Trace Link Generation for Querying Software Projects at Scale	2022		.txt	text/plain	527	25	36	The results show that our approach not only outperform other language model based deep learning models on resource rich scenarios, but also tackle resource limited scenarios that other deep learning models are incapable of handling. Traditionally, low availability of manually created trace links for training purposes, has limited the application of deep learning trace models.	cache/kd17cr60200.txt	txt/kd17cr60200.txt