"PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction" by Hanyue Zhang, Li Li et al.
Named entity recognition and relation extraction are essential for structured information construction. However, existing methods, particularly in the field of relation prediction, struggled with information redundancy. In addition, conventional classification models only focus on predicting labels and comparing them to the ground truth, without considering the values and semantics of the labels. In this paper, we propose a novel end-to-end joint entity recognition and relation extraction model named PGLR (Pseudo Graph and Label Reuse for Entity Relation Extraction), which mainly decomposes th...
Source: uow.edu.au