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Coreference Resolution on CoNLL English 2012 (test)

88MUC F1 ScoreWu et al. (2020)
71.98476.14280.384.458Apr 11, 2016May 18, 2017Jun 25, 2018Aug 2, 2019Sep 7, 2020Oct 15, 2021Nov 22, 2022

Evaluation results

MethodLinks
Wu et al. (2020)2022.038888.687.482.48282.2————79.978.379.183.1—
Wu et al. (2020)LM=SpanBERT, Decoder=QA, additional training data=true2022.118888.687.482.48282.2————79.978.379.183.1—
Link-AppendLM=mT5, Decoder=transition2022.1187.887.488.381.883.482.6————79.179.979.583.3—
Dobrovolskii (2021)LM=ROBERTa, Decoder=c2f2022.1186.384.987.977.482.679.9————76.177.176.681—
CorefQA+SpanBERT2022.0586.3————77.6——————75.879.9—
G2GTBackbone=SpanBERT-large, Handling Strategy=reduced2022.0385.985.98679.379.479.3————76.475.976.180.5—
Kirstain et al. (2021)LM=LongFormer, Decoder=bilinear2022.1185.886.585.180.377.979.1————76.875.476.180.3—
SpanBERT + CMEncoder=SpanBERT-large, HOI approach=Cluster Merging2020.0985.785.985.57978.979————76.775.275.980.279.9
Xu and Choi (2020)2022.0385.785.985.57978.979————76.775.275.980.2—
Xu and Choi (2020)LM=SpanBERT, Decoder=hoi2022.1185.785.985.57978.979————76.775.275.980.2—
SpanBERTEncoder=SpanBERT-large2020.0985.585.785.378.678.678.6————76.874.875.879.979.7
SpanBERT + AAEncoder=SpanBERT-large, HOI approach=Attend-to-Antecedent2020.0985.486.184.879.377.378.3————7674.775.479.779.4
SpanBERT + SCEncoder=SpanBERT-large, HOI approach=Span Clustering2020.0985.485.585.278.478.578.4————76.574.175.279.779.2
SpanBERT2019.0785.385.884.878.377.978.1————76.474.275.379.6—
Joshi et al.Embedding Category=Fine-tuned on BERT, Reference=2019a2019.1185.385.884.878.377.978.1————76.474.275.379.6—
J-202020.0985.385.884.878.377.978.1————76.474.275.379.6—
Baseline + SpanBERT-largeBackbone=SpanBERT-large2022.0385.385.884.878.377.978.1————76.474.275.379.6—
G2GTBackbone=SpanBERT-large, Handling Strategy=overlap2022.0385.385.884.978.77878.3————76.474.575.479.7—
Joshi et al. (2020)LM=SpanBERT, Decoder=c2f2022.1185.385.884.878.377.978.1————76.474.275.379.6—
Xia et al. (2020)LM=SpanBERT, Decoder=transitions2022.1185.385.784.878.177.577.8————76.374.175.279.4—
SpanBERT + EEEncoder=SpanBERT-large, HOI approach=Entity-Equalization2020.0985.185.784.578.577.477.9————76.773.47579.478.9
BERT-1seqImplementation=Authors' baseline replication, Objective=Single-sequence training2019.0784.885.584.177.876.777.2————75.373.574.478.8—
BERTImplementation=Authors' baseline replication2019.0784.385.183.577.375.576.4————7571.973.978.3—
G2GTBackbone=BERT-large, Handling Strategy=reduced2022.0383.984.783.176.87475.4————75.370.172.677.3—
BERTEncoder=BERT-base2020.0983.88582.577.37475.6————74.970.772.877.477.3
Google BERT2019.0783.784.982.576.774.275.4————74.670.172.377.1—
BERT-large + c2f-corefvariant=independent2019.0883.584.782.476.57475.3————74.169.871.976.9—
Joshi et al.Embedding Category=Fine-tuned on BERT, Reference=2019b2019.1183.584.782.476.57475.3————74.169.871.976.9—
J-192020.0983.584.782.476.57475.3————74.169.871.976.9—
Baseline + BERT-largeBackbone=BERT-large2022.0383.584.782.476.57475.3————74.169.871.976.9—
Joshi et al. (2019)LM=BERT, Decoder=c2f2022.1183.584.782.476.57475.3————74.169.871.976.9—
EEcitation=Kantor and Globerson (2019)2019.0883.482.684.173.376.274.7————72.471.171.876.6—
Kantor and GlobersonEmbedding Category=Pre-trained Contextual Embeddings2019.1183.482.684.173.376.274.7————72.471.171.876.6—
K-192020.0983.482.684.173.376.274.7————72.471.171.876.6—
G2GTBackbone=BERT-large, Handling Strategy=overlap2022.0383.383.583.274.574.174.3————75.270.172.676.7—
G2GTBackbone=BERT-base, Handling Strategy=reduced2022.0383.283.483.170.173.771.9————72.170.17175.4—
Cluster Ranking ModelEmbedding Category=Pre-trained Contextual Embeddings2019.118382.783.373.875.674.7————72.27171.676.4—
Yu et al. (2020)LM=BERT, Decoder=Ranking2022.118382.783.373.875.674.7————72.27171.676.4—
BERT-large + c2f-corefvariant=overlap2019.0882.885.180.577.570.974.1————73.869.371.576.1—
G2GTBackbone=BERT-base, Handling Strategy=overlap2022.038281.282.869.873.671.6————69.669.369.474.4—
Fei et al.2019.0881.485.477.977.966.471.7————70.666.368.473.8—
BERT-base + c2f-corefvariant=overlap2019.0881.480.482.369.673.871.7————6968.568.873.9—
F-192020.0981.485.477.977.966.471.7————70.666.368.473.8—
Fei et al. (2019)2022.0381.485.477.977.966.471.7————70.666.368.473.8—
Baseline + BERT-baseBackbone=BERT-base2022.0381.480.482.369.673.871.7————6968.568.873.9—
BERT+c2f-coref2022.0581.4————71.7——————68.873.9—
BERT-base + c2f-corefvariant=independent2019.0881.380.282.469.673.871.6————6968.668.873.9—
TANL2022.0581————69——————68.472.8—
Second-order inference (Full Approach)ELMo=true, hyperparameter tuning=true, coarse-to-fine=true, second-order inference=true2018.0480.481.479.572.269.570.8————68.267.167.673—
c2f-corefcitation=Lee et al. (2018)2019.0880.481.479.572.269.570.8————68.267.167.673—
Lee et al.Note=Previous SOTA2019.0780.481.479.572.269.570.8————68.267.167.673—
Lee et al.Embedding Category=Pre-trained Contextual Embeddings2019.1180.481.479.572.269.570.8————68.267.167.673—
L-182020.0980.481.479.572.269.570.8————68.267.167.673—
BaselineBackbone=ELMo2022.0380.481.479.572.269.570.8————68.267.167.673—
Lee et al. (2018)LM=Elmo, Decoder=c2f2022.1180.481.479.572.269.570.8————68.267.167.673—
Higher-order c2f-coref2022.0580.4————70.8——————67.673—
Coarse-to-fine inferenceELMo=true, hyperparameter tuning=true, coarse-to-fine=true2018.0480.180.479.9717070.5————67.567.267.372.6—
Lee et al. (2017) + ELMo + Hyperparameter TuningELMo=true, hyperparameter tuning=true2018.0479.880.778.871.768.770.2————67.266.86772.3—
G2GTBackbone=BERT-large, Handling Strategy=truncated2022.0379.680.179.271.37171.1————69.168.868.973.2—
TANL (multitask)training=multi-task2022.0578.7————65.7——————63.869.4—
Lee et al. (2017) + ELMoELMo=true2018.0478.680.177.269.866.568.1————66.462.964.670.4—
G2GTBackbone=BERT-base, Handling Strategy=truncated2022.0378.178.477.969.67170.3————66.867.36771.8—
End-to-end neural coreference resolution modelModel configuration=ensemble2017.0777.281.273.672.361.766.6————65.260.262.668.8—
Zhang et al.Embedding Category=Context Independent2019.1176.579.473.86962.365.5————64.958.361.467.8—
Lee et al. (2017)2018.0475.878.473.468.661.865————62.75960.867.2—
End-to-end neural coreference resolution modelModel configuration=single2017.0775.878.473.468.661.865————62.75960.867.2—
e2e-corefcitation=Lee et al. (2017)2019.0875.878.473.468.661.865————62.75960.867.2—
Lee et al.Embedding Category=Context Independent2019.1175.878.473.468.661.865————62.75960.867.2—
L-172020.0975.878.473.468.661.865————62.75960.867.2—
Lee et al. (2017)2022.0375.878.473.468.661.865————62.75960.867.2—
Lee et al. (2017)Decoder=neural e2e2022.1175.878.473.468.661.865————62.75960.867.2—
DEEPSTRUCTtraining=w/ finetune2022.0574.9————71.3——————73.173.1—
Heuristic Loss2016.0974.6579.6370.2569.2157.8763.03————63.6253.9758.465.36—
Clark and Manning (2016a)2018.0474.679.270.469.95863.4————63.555.559.265.7—
Clark and ManningVersion=2016a2017.0774.679.270.469.95863.4————63.555.559.265.7—
Clark and Manningyear=20162019.0874.679.270.469.95863.4————63.555.559.265.7—
Clark and ManningEmbedding Category=Context Independent2019.1174.679.270.469.95863.4————63.555.559.265.7—
Clark and Manning (2016)2022.0374.679.270.469.95863.4————63.555.559.265.7—
Reward Rescaling2016.0974.5679.1970.4469.9357.9963.4————63.4655.5259.2365.73—
REINFORCE2016.0974.4880.0869.6170.756.9663.09————63.5954.4658.6765.41—
Clark & Manning (2016)2016.0974.2379.9169.371.0156.5362.95————63.8454.3358.765.29—
Clark and Manning (2016b)2018.0474.279.969.37156.563————63.854.358.765.3—
Clark and ManningVersion=2016b2017.0774.279.969.37156.563————63.854.358.765.3—
NN Cluster Ranker2016.0674.0678.9369.7570.0856.9862.8662.4855.8258.96————65.29—
NN Mention Ranker2016.0674.0579.7769.169.6856.3762.3263.0253.5957.92————64.76—
RNN-based Coreference Resolutionmodel=This work2016.0473.4277.4969.7566.8356.9561.562.1453.8557.764.21—————
Wiseman et al. (2016)2016.0673.4277.4969.7566.8356.9561.562.1453.8557.7————64.21—
Wiseman et al. (2016)2016.0973.4277.4969.7566.8356.9561.5————62.1453.8557.764.21—
Wiseman et al. (2016)2018.0473.477.569.866.85761.5————62.153.957.764.2—
Wiseman et al.Version=20162017.0773.477.569.866.85761.5————62.153.957.764.2—
Wiseman et al.year=20162019.0873.477.569.866.85761.5————62.153.957.764.2—
Wiseman et al. (2016)2022.0373.477.569.866.85761.5————62.153.957.764.2—
Wiseman et al.year=20152016.0472.676.2369.3166.0755.8360.5259.4154.8857.0563.39—————
Clark and Manning (2015)2018.0472.676.169.465.65660.4————59.4535663—
Wiseman et al. (2015)2018.0472.676.269.366.255.860.5————59.454.957.163.4—
Wiseman et al. (2015)2016.0672.676.2369.3166.0755.8360.5259.4154.8857.05————63.39—
Wiseman et al.Version=20152017.0772.676.269.366.255.860.5————59.454.957.163.4—
Clark and ManningVersion=20152017.0772.676.169.465.65660.4————59.4535663—
Clark and Manningyear=20152019.0872.676.169.465.65660.4————59.4535663—
Wiseman et al.year=20152019.0872.676.269.366.255.860.5————59.454.957.163.1—