Coreference Resolution On Ontonotes

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

比較表

モデル名	F1
end-to-end-neural-coreference-resolution	67.2
deep-reinforcement-learning-for-mention	65.73
2407-21489	83.6
on-generalization-in-coreference-resolution	79.6
on-generalization-in-coreference-resolution	80.6
autoregressive-structured-prediction-with	82.3
higher-order-coreference-resolution-with	72.3
end-to-end-deep-reinforcement-learning-based	73.8
efficient-and-interpretable-neural-models-for	80.9
deep-contextualized-word-representations	70.4
improving-coreference-resolution-by-learning	65.29
learning-to-ignore-long-document-coreference	79.6
on-generalization-in-coreference-resolution	79.2
word-level-coreference-resolution	81
higher-order-coreference-resolution-with	73.0
graph-refinement-for-coreference-resolution-1	80.2
learning-word-representations-with-cross	67.8
coreference-resolution-through-a-seq2seq	83.3
spanbert-improving-pre-training-by	79.6
graph-refinement-for-coreference-resolution-1	80.5
bert-for-coreference-resolution-baselines-and	76.9
bert-for-coreference-resolution-baselines-and	73.9
coreference-resolution-with-entity	76.61
learning-global-features-for-coreference	64.21
lingmess-linguistically-informed-multi-expert	81.4
caw-coref-conjunction-aware-word-level	81.6