2 papers
cs.CL2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu, Chenwei Zhang, Yawen Yang +4
Low-resource Relation Extraction (LRE) aims to extract relation facts from limited labeled corpora when human annotation is scarce. Existing works either utilize self-training sche…
cs.CL2019
An Approach for Process Model Extraction By Multi-Grained Text Classification
Chen Qian, Lijie Wen, Akhil Kumar +5
Process model extraction (PME) is a recently emerged interdiscipline between natural language processing (NLP) and business process management (BPM), which aims to extract process…