Do Neural Information Extraction Algorithms Generalize Across Institutions?

Abstract

Real-world scenarios require that neural NLP approaches scale to data from previously unseen institutions. We show that a common neural NLP algorithm for information extraction can achieve this goal, especially when diverse data are used during training.