In human reliability analysis (HRA) for nuclear power plants, cognitive modeling-based approaches require the development of an operator knowledge base to simulate the cognitive processes of operators. However, existing automatic extraction methods fail to provide knowledge that meets the granularity requirements of cognitive modeling for the development of the operator knowledge base.To address this gap, this paper proposes a deep learning-based extraction method. Specifically, the method utilizes a bidirectional encoder representations from transformers (BERT)-bidirectional long short-term m...
