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Fine-Grained Entity Typing on OntoNotes (test)

86.6Macro F1 ScoreLITE
65.59271.04676.581.954Feb 17, 2016Mar 28, 2017May 8, 2018Jun 18, 2019Jul 28, 2020Sep 7, 2021Oct 18, 2022

Evaluation results

MethodLinks
LITETraining/Evaluation Protocol=pre-trained on NLI+UFET2022.0286.6—————81.4
LITETraining/Evaluation Protocol=NLI+task-specific training2022.0286.4—————80.9
MLMET2022.0285.4—————80.4
MLMETuse hierarchical type structures=false2022.1085.467.4————80.4
denoising enhanced ultra-fine entity typing modeluse hierarchical type structures=false2022.1085.470————80.9
Filter+Relabeluse hierarchical type structures=false2022.1084.564.9————79.2
DSAM2022.0283.1—————78.2
PLE2016.0279.863.981.478.279.176.677.8
PLE-CoHvariant=cohesion only2016.0278.76278.978.577.876.977.3
LabelGCNuse hierarchical type structures=false2022.1077.859.6————72.2
Box4Types2022.0277.3—————70.9
PLE-NoCovariant=no correlation2016.027759.376.877.375.176.275.6
Multi-taskuse hierarchical type structures=false2022.1076.859.5————71.8
BERTuse hierarchical type structures=false2022.1076.651.8————69.1
NFETCuse hierarchical type structures=true2022.1076.460.2————70.2
LINE-Rawtraining=raw labels2016.0273.354.969.97767.775.471.4
Hierarchy-Typing2022.0273—————68.1
Raw2016.0272.74867.179.357.678.666.5
Min2016.0272.548.76877.759.276.366.7
Sib2016.0272.148.17173.267.570.268.8
All2016.027248.771.672.468.669.168.9
PTE-Rawtraining=raw labels2016.0271.952.968.775.465.773.369.3
LNRuse hierarchical type structures=true2022.1071.557.2————66.1
WSABIE-Rawtraining=raw labels2016.0271.348.268.674.366.772.169.3
AFETuse hierarchical type structures=true2022.1071.155.1————64.7
AttentiveNERuse hierarchical type structures=true2022.107151.7————64.9
DeepWalk-Rawtraining=raw labels2016.0266.444.162.570.859.868.363.8