Coreference Resolution On Ontonotes

Metrics

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Maverick_mes	83.6	Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
seq2seq	83.3	Coreference Resolution through a seq2seq Transition-Based System
ASP+T0-3B	82.3	Autoregressive Structured Prediction with Language Models
caw-coref + RoBERTa	81.6	CAW-coref: Conjunction-Aware Word-level Coreference Resolution
LingMess	81.4	LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
wl-coref + RoBERTa	81	Word-Level Coreference Resolution
U-MEM + Longformer	80.9	Efficient and Interpretable Neural Models for Entity Tracking	-
longdoc S (OntoNotes + 60k pseudo-singletons)	80.6	On Generalization in Coreference Resolution
G2GT SpanBERT-large reduced	80.5	Graph Refinement for Coreference Resolution
G2GT SpanBERT-large overlap	80.2	Graph Refinement for Coreference Resolution
longdoc S (ON + PreCo + LitBank + 30k pseudo-singletons)	79.6	On Generalization in Coreference Resolution
U-MEM* + SpanBERT	79.6	Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
SpanBERT	79.6	SpanBERT: Improving Pre-training by Representing and Predicting Spans
longdoc S (OntoNotes + PreCo + LitBank)	79.2	On Generalization in Coreference Resolution
BERT-large	76.9	BERT for Coreference Resolution: Baselines and Analysis
BERT + EE	76.61	Coreference Resolution with Entity Equalization	-
BERT-base	73.9	BERT for Coreference Resolution: Baselines and Analysis
Reinforced + ELMo	73.8	End-to-end Deep Reinforcement Learning Based Coreference Resolution	-
c2f-coref	73.0	Higher-order Coreference Resolution with Coarse-to-fine Inference
e2e-coref + ELMo + hyperparameter tuning	72.3	Higher-order Coreference Resolution with Coarse-to-fine Inference

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Coreference Resolution On Ontonotes

Metrics

Results