13 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 13 cited
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding
Taolin Zhang, Chengyu Wang, Nan Hu +4
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained models with relation triples injecting from knowledge graphs to improve language understanding abilities. To…
cs.CL2021★ 1 cited
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
Taolin Zhang, Zerui Cai, Chengyu Wang +3
Recently, the performance of Pre-trained Language Models (PLMs) has been significantly improved by injecting knowledge facts to enhance their abilities of language understanding. F…