A Frustratingly Easy Approach for Entity and Relation Extraction

Benchmark Model Rank Results
joint-entity-and-relation-extraction-onOurs: cross-sentence#5Relation F1: 50.1Entity F1: 68.9RE+ Micro F1: 36.7
named-entity-recognition-ner-on-sciercOurs: cross-sentence#4F1: 68.2
named-entity-recognition-on-ace-2004Ours: cross-sentence ALB#1F1: 90.3Multi-Task Supervision: y
named-entity-recognition-on-ace-2005Ours: cross-sentence ALB#1F1: 90.9
relation-extraction-on-ace-2004Ours: cross-sentence ALB#3RE+ Micro F1: 62.2RE Micro F1: 66.1NER Micro F1: 90.3
relation-extraction-on-ace-2005Ours: cross-sentence ALB#5RE Micro F1: 69.4NER Micro F1: 90.9Sentence Encoder: ALBERT