Before revision:  In the 2019 paper by Verberne et al., the authors evaluate two sequence labelling methods for extracting references from patents: Conditional Random Fields (CRF) and Flair . In this paper we extend that work, by (1) improving the quality of the training data and (2) applying BERT-based models to the problem.
After revision:  In the 2019 paper by Verberne et al., the authors evaluate two sequence labelling methods for extracting references from patents: Conditional Random Fields (CRF) and Flair for reference extraction. We improve the quality of the training data and (2) applying BERT-based models to the problem.