Coreference Resolution On Ontonotes
Metriken
F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | 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 |