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SotA/Natural Language Processing/Named Entity Recognition (NER)/CoNLL++

Named Entity Recognition (NER) on CoNLL++

Metric: F1 (higher is better)

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#Model↕F1▼Extra DataPaperDate↕Code
1LUKE + SubRegWeigh (K-means)96.12NoSubRegWeigh: Effective and Efficient Annotation ...2024-09-10Code
2LUKE(Large)95.89NoLUKE: Deep Contextualized Entity Representations...2020-10-02Code
3Noise-robust Co-regularization + LUKE95.6NoLearning from Noisy Labels for Entity-Centric In...2021-04-17Code
4RoBERTa + SubRegWeigh (K-means)95.45NoSubRegWeigh: Effective and Efficient Annotation ...2024-09-10Code
5CL-KL94.81NoImproving Named Entity Recognition by External C...2021-05-08Code
6CrossWeigh + Pooled Flair94.28YesCrossWeigh: Training Named Entity Tagger from Im...2019-09-03Code
7Pooled Flair94.13YesCrossWeigh: Training Named Entity Tagger from Im...2019-09-03Code
8Noise-robust Co-regularization + BERT-large94.04NoLearning from Noisy Labels for Entity-Centric In...2021-04-17Code
9BiLSTM-CRF+ELMo93.42NoDeep contextualized word representations2018-02-15Code
10BiLSTM-CNN-CRF91.87NoEnd-to-end Sequence Labeling via Bi-directional ...2016-03-04Code
11LSTM-CRF91.47NoNeural Architectures for Named Entity Recognition2016-03-04Code