Learning from Noisy Labels for Entity-Centric Information Extraction

Benchmark Model Rank Results
named-entity-recognition-ner-on-conll-2003Co-regularized LUKE#3F1: 94.22
named-entity-recognition-on-conllNoise-robust Co-regularization + LUKE#3F1: 95.60
named-entity-recognition-on-conllNoise-robust Co-regularization + BERT-large#8F1: 94.04
relation-extraction-on-tacredNoise-robust Co-regularization + BERT-large#9F1: 73.0