5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.IR2022★ 5 cited
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
Siyu Yuan, Deqing Yang, Jiaqing Liang +5
The concepts in knowledge graphs (KGs) enable machines to understand natural language, and thus play an indispensable role in many applications. However, existing KGs have the poor…
cond-mat.dis-nn2019★ 2 cited
Machine learning magnetic parameters from spin configurations
Dingchen Wang, Songrui Wei, Anran Yuan +5
Hamiltonian parameter estimation is crucial in condensed matter physics, but time and cost consuming in terms of resources used. With advances in observation techniques, high-resol…