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ResearchFormerly WizWand

Argument Classification on ERE-EN (test)

75.4F1 ScoreAMPERE (AMRBART)
17.47232.51147.5562.589May 12, 2022Jul 14, 2022Sep 15, 2022Nov 17, 2022Jan 19, 2023Mar 23, 2023May 26, 2023
Updated 8mo ago

Evaluation results

MethodLinks
AMPERE (AMRBART)Type=Generation, Training Data Proportion=100%2023.0575.4——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=100%2023.0575——
DEGREEType=Generation, Training Data Proportion=100%2023.0574.9——
DEGREEType=Generation, Training Data Proportion=50%2023.0573.3——
AMPERE (AMRBART)Type=Generation, Training Data Proportion=50%2023.0572.5——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=50%2023.0572.5——
AMR-IEType=Classification, Training Data Proportion=100%2023.0571.5——
AMPERE (AMRBART)Type=Generation, Training Data Proportion=30%2023.0571.3——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=30%2023.0570.5——
OneIEType=Classification, Training Data Proportion=100%2023.0570.1——
DEGREEType=Generation, Training Data Proportion=30%2023.0569.1——
AMR-IEType=Classification, Training Data Proportion=50%2023.0568.9——
AMPERE (AMRBART)Type=Generation, Training Data Proportion=20%2023.0568.5——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=20%2023.0568.4——
OneIEType=Classification, Training Data Proportion=50%2023.0567.7——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=10%2023.0567.7——
DEGREEType=Generation, Training Data Proportion=20%2023.0567.4——
AMPERE (AMRBART)Type=Generation, Training Data Proportion=10%2023.0566.7——
OneIEType=Classification, Training Data Proportion=30%2023.0566.1——
AMR-IEType=Classification, Training Data Proportion=30%2023.0565.6——
Query and ExtractType=Classification, Training Data Proportion=100%2023.0564.3——
DEGREEType=Generation, Training Data Proportion=10%2023.0563.9——
AMPERE (ROBERTa)Type=Generation, Training Data Proportion=5%2023.0563.2——
AMPERE (AMRBART)Type=Generation, Training Data Proportion=5%2023.0562.9——
OneIEType=Classification, Training Data Proportion=20%2023.0562.3——
AMR-IEType=Classification, Training Data Proportion=20%2023.0560.4——
Query and ExtractType=Classification, Training Data Proportion=50%2023.0557.7——
DEGREEType=Generation, Training Data Proportion=5%2023.0557.5——
OneIEType=Classification, Training Data Proportion=10%2023.0556.1——
DyGIE++Type=Classification, Training Data Proportion=100%2023.0556——
GTEE-DYNPREFLearning Setting=Supervised2022.0555.151.958.8
DyGIE++Type=Classification, Training Data Proportion=50%2023.0553.7——
AMR-IEType=Classification, Training Data Proportion=10%2023.0553.7——
DyGIE++Type=Classification, Training Data Proportion=30%2023.0552——
ONEIELearning Setting=Supervised2022.0550.551.849.2
Query and ExtractType=Classification, Training Data Proportion=30%2023.0550.1——
DEGREE-E2ELearning Setting=Supervised2022.0549.6——
DyGIE++Type=Classification, Training Data Proportion=20%2023.0549.5——
OneIEType=Classification, Training Data Proportion=5%2023.0549.5——
TEXT2EVENTLearning Setting=Supervised2022.0548.349.447.2
DyGIE++Type=Classification, Training Data Proportion=10%2023.0544.6——
AMR-IEType=Classification, Training Data Proportion=5%2023.0544.1——
Query and ExtractType=Classification, Training Data Proportion=20%2023.0542.4——
DyGIE++Type=Classification, Training Data Proportion=5%2023.0540——
Query and ExtractType=Classification, Training Data Proportion=10%2023.0534——
Query and ExtractType=Classification, Training Data Proportion=5%2023.0519.7——