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Pronoun Disambiguation on WSC (test)

78.8Accuracy (Single)ALBERT-xxlarge
48.84856.62464.472.176Apr 16, 2021

Evaluation results

MethodLinks
ALBERT-xxlargeSetup=Zero-shot2021.0478.8——————57.61
ALBERT-xxlargeSetup=Zero-shot2021.0477.4——————54.79
RoBERTa-largeSetup=Zero-shot2021.0473.91——————47.83
RoBERTa-largeSetup=Zero-shot2021.0471.23——————42.47
RoBERTa-baseSetup=Zero-shot2021.0463.04——————27.17
BERT-largeSetup=Zero-shot2021.0461.41——————23.91
BERT-largeSetup=Zero-shot2021.0460.27——————21.92
RoBERTa-baseSetup=Zero-shot2021.0460.27——————21.92
BERT-baseSetup=Zero-shot2021.0456.52——————15.22
ALBERT-baseSetup=Zero-shot2021.0455.48——————12.33
ALBERT-baseSetup=Zero-shot2021.0455.43——————13.04
BERT-baseSetup=Zero-shot2021.0454.79——————12.33
randomSetup=Zero-shot2021.0450——————25
randomSetup=Zero-shot2021.0450——————25
BERT_CS_largeFormat=MCQA2019.08—75.573.786.574.873.386.3—
BERT_largeTraining Objective=MTP (Masked Token Prediction)2019.08—70.370.867.673.370.159.5—
BERT_largeFormat=MCQA (Multi-choice Question-Answering)2019.08—71.469.981.171.864.982.4—
Ensemble 14 LMs2019.08—63.760.683.863.453.444.3—
GEEPBackbone=RoBERTa-base, Data=Gender-neutral dataset2021.10—52.7——————
Knowledge Hunter2019.08—57.158.35058.858.890.1—
Kocijan et al. (2019)Training Objective=MTP2019.08—72.271.675.774.872.561.1—
RoBERTaBackbone=RoBERTa-base, Training=Pre-trained without further training2021.10—50.1——————
Ruan et al. (2019)2019.08—71.169.581.174.172.566.4—
SPPABackbone=RoBERTa-base, Data=Gender-neutral dataset, Training=Full fine-tuning2021.10—50.9——————