Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Benchmark Model Rank Results
joint-entity-and-relation-extraction-onSpERT (with overlap)#4Relation F1: 50.84Entity F1: 70.3Cross Sentence: No
joint-entity-and-relation-extraction-onSpERT#9Entity F1: 70.33Cross Sentence: No
named-entity-recognition-ner-on-sciercSpERT#2F1: 70.33
relation-extraction-on-ade-corpusSpERT (without overlap)#10RE+ Macro F1: 79.24NER Macro F1: 89.25
relation-extraction-on-ade-corpusSpERT (with overlap)#11RE+ Macro F1: 78.84NER Macro F1: 89.28
relation-extraction-on-conll04SpERT#3RE+ Macro F1: 72.87RE+ Micro F1: 71.47NER Macro F1: 86.25