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Named Entity Recognition on Conll 2003

96.77F1 Score

YAYI-UIE

Updated 2d ago

Evaluation Results

Method
YAYI-UIE 2024.11	96.77	-	-	-	-
YAYI-UIE 2024.11	96.77	-	-	-	-
MUCO 2021.06	95.78	-	-	96.23	95.35
MAML 2021.06	95.37	-	-	94.76	96.04
KnowCoder-X 2024.11	94.69	-	-	-	-
KnowCoder-X 2024.11	94.69	-	-	-	-
WPN 2021.06	94.68	-	-	94.39	95
KnowCoder 2024.11	94.1	-	-	-	-
GNER 2024.11	93.6	-	-	-	-
UniversalNER 2024.11	93.3	-	-	-	-
RoBERTa-BiLSTM + CRF 2023.05	92.91	-	-	-	-
GOLLIE 2024.11	92.9	-	-	-	-
RoBERTa-BiLSTM + self-attention 2023.05	92.73	-	-	-	-
RoBERTa-BiLSTM + Global Context Mechanism 2023.05	92.71	-	-	-	-
RoBERTa + CRF 2023.05	92.62	-	-	-	-
RoBERTa + Global Context Mechanism 2023.05	92.61	-	-	-	-
GLINER 2024.11	92.6	-	-	-	-
RoBERTa + self-attention 2023.05	92.58	-	-	-	-
B2NER 2024.11	92.56	-	-	-	-
B2NER 2024.11	92.56	-	-	-	-
RoBERTa-BiLSTM 2023.05	92.52	-	-	-	-
BiLSTM(2) (RoBERTa features) 2023.05	92.52	-	-	-	-
IEPILE 2024.11	92.49	-	-	-	-
IEPILE 2024.11	92.49	-	-	-	-
RoBERTa 2023.05	92.46	-	-	-	-
RoBERTa + linear 2023.05	92.41	-	-	-	-
BERT 2024.11	92.4	-	-	-	-
BERT 2024.11	92.4	-	-	-	-
GRN 2019.07	92.34	-	92.45	92.04	92.65
Peters et al. 2018 2019.07	92.22	-	-	-	-
BERT-BiLSTM + CRF 2023.05	91.98	-	-	-	-
Peters et al. 2017 2019.07	91.93	-	-	-	-
BERT + CRF 2023.05	91.85	-	-	-	-
BERT + linear 2023.05	91.84	-	-	-	-
BERT-BiLSTM + Global Context Mechanism 2023.05	91.84	-	-	-	-
BERT-BiLSTM 2023.05	91.76	-	-	-	-
BiLSTM(2) (BERT features) 2023.05	91.74	-	-	-	-
BERT + Global Context Mechanism 2023.05	91.72	-	-	-	-
BERT + self-attention 2023.05	91.66	-	-	-	-
Tran et al. 2010 2019.07	91.66	-	-	-	-
Chiu and Nichols 2016 2019.07	91.62	-	-	91.39	91.85
BERT-BiLSTM + self-attention 2023.05	91.58	-	-	-	-
InstructUIE 2024.11	91.53	-	-	-	-
BERT 2023.05	91.49	-	-	-	-
GRN 2019.07	91.44	-	91.67	91.31	91.57
Ye and Ling 2018 2019.07	91.38	-	91.53	-	-
ELMo 2019.04	91.34	-	-	-	-
Transfer Learning Model 2017.03	91.26	-	-	-	-
Yang et al. 2017 2019.07	91.26	-	-	-	-
Liu et al. 2018 2019.07	91.24	-	91.35	-	-
Ma & Hovy (2016) 2017.03	91.21	-	-	-	-
Ma and Hovy 2016 2019.07	91.21	-	-	91.35	91.06
Luo et al. (2015) 2017.03	91.2	-	-	-	-
Transfer Learning Model 2017.03	91.2	-	-	-	-
Luo et al. 2015 2019.07	91.2	-	-	-	-
CNN-BiLSTM-CRF 2019.07	91.17	-	91.45	-	-
Lample et al. (2016) 2017.03	90.94	-	-	-	-
Lample et al. 2016 2019.07	90.94	-	-	-	-
Chiu and Nichols 2016 2019.07	90.91	-	-	90.75	91.08
Passos et al. (2014) 2017.03	90.9	-	-	-	-
Peters et al. 2017 2019.07	90.87	-	-	-	-
ID-CNN 2019.07	90.54	-	-	-	-
GloVe 2019.04	90.25	-	-	-	-
CNN-BiLSTM-Att-CRF 2019.07	90.24	-	90.48	-	-
Huang et al. (2015) 2017.03	90.1	-	-	-	-
Luo et al. 2015 2019.07	89.9	-	-	-	-
Zukov-Gregoric et al. 2017 2019.07	89.83	-	-	-	-
Ours 2019.04	89.78	-	-	-	-
Collobert et al. (2011) 2017.03	89.59	-	-	-	-
Collobert et al. 2011 2019.07	89.59	-	-	-	-
Liu, Baldwin, and Cohn 2017 2019.07	89.5	-	-	-	-
Collobert et al. 2011 2019.07	88.67	-	-	-	-
Zhuo et al. 2016 2019.07	88.12	-	-	-	-
Gillick et al. (2015) 2017.03	86.5	-	-	-	-
Ours 2019.04	86.36	-	-	-	-
Rei 2017 2019.07	86.26	-	-	-	-
Rei, Crichton, and Pyysalo 2016 2019.07	84.09	-	-	-	-
LTC 2021.06	83.97	-	-	85.89	82.41
MUCO 2021.06	82.69	-	-	81.7	83.98
WPN 2021.06	81.4	-	-	77.87	86.58
MAML 2021.06	79.8	-	-	75.95	85.69
LTC 2021.06	73.31	-	-	78.19	70.36
PN 2021.06	72.7	-	-	74.36	71.46
BERT 2021.06	70.54	-	-	73.94	68.28
BERT 2021.06	54.28	-	-	61	50.46
PN 2021.06	52.1	-	-	55.78	50.72
Longformer 2024.10	-	55.6	-	-	-
BigBird 2024.10	-	55.53	-	-	-
GPT-4o 2024.10	-	22.9	-	-	-
Gemini 1.5 Pro 2024.10	-	30.36	-	-	-
ChuLo 2024.10	-	93.34	-	-	-