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Named Entity Recognition on MSRA (test)

96.24F1 Score

MECT

Updated 1mo ago

Evaluation Results

Method
MECT 2021.07	96.24	-	-
W2NER 2021.12	96.1	96.12	96.08
Li et al. (2020b) 2021.12	96.09	-	-
Clean data 2023.05	95.53	-	-
SoftLexicon (LSTM) + BERT 2019.08	95.42	95.75	95.1
SoftLexicon (LSTM) + BERT 2019.08	95.42	95.75	95.1
Ma et al. (2020) 2021.12	95.42	95.75	95.1
CPLL 2023.05	95.42	-	-
LW loss 2023.05	95.35	-	-
BERT 2021.07	94.95	-	-
BERT + LSTM + CRF 2019.08	94.83	95.06	94.61
Entity-level Voting 2023.05	94.78	-	-
Token-level Voting 2023.05	94.68	-	-
MECT 2021.07	94.32	94.55	94.09
Baseline 2021.07	94.12	-	-
SoftLexicon (LSTM) + bichar 2019.08	94.06	94.73	93.4
SoftLexicon 2021.07	94.06	94.73	93.4
BERT-Tagger 2019.08	93.76	93.4	94.12
LR-CNN 2019.08	93.71	94.5	92.93
LR-CNN 2021.07	93.71	94.5	92.93
Gui et al. (2019) 2021.12	93.71	94.5	92.93
SoftLexicon (LSTM) 2019.08	93.66	94.63	92.7
SoftLexicon 2021.07	93.66	94.63	92.7
LGN 2021.07	93.46	94.19	92.73
PLT 2021.07	93.26	94.25	92.3
Zhang and Yang [10] 2019.04	93.18	93.57	92.79
Lattice-LSTM 2019.08	93.18	93.57	92.79
Lattice-LSTM 2021.07	93.18	93.57	92.79
Zhang and Yang (2018) 2021.12	93.18	93.57	92.79
CAN Model 2019.04	92.97	93.53	92.42
CAN-NER 2021.07	92.97	93.53	92.42
Yan et al. (2019) 2021.12	92.74	-	-
PRODEN-mlp 2023.05	92.46	-	-
Char-based (LSTM) + bichar + ExSoftword 2019.08	92.38	93.21	91.57
Baseline + CNN 2019.04	92.34	92.57	92.11
Seqcrowd 2023.05	91.9	-	-
Char-based (LSTM) + bichar + softword 2019.08	91.87	92.97	90.8
Zhou et al. [32] 2019.04	91.67	92.04	91.31
Zhang et al. [28] 2019.04	91.18	92.2	90.18
Zhang et al., 2006* 2019.08	91.18	92.2	90.18
Zhang et al. 2006* 2019.08	91.18	92.2	90.18
Zhang et al. (2006)* 2021.07	91.18	92.2	90.18
Dong et al. [31] 2019.04	90.95	91.28	90.62
Dong et al. 2016 2019.08	90.95	91.28	90.62
Dong et al. 2016 2019.08	90.95	91.28	90.62
Dong et al. (2016) 2021.07	90.95	91.28	90.62
Cao et al. [11] 2019.04	90.64	91.3	89.58
Baseline 2019.04	90.32	92.54	88.2
Zhou et al. [29] 2019.04	90.28	91.86	88.75
Zhou et al., 2013 2019.08	90.28	91.86	88.75
Zhou et al. 2013 2019.08	90.28	91.86	88.75
Zhou et al. (2013) 2021.07	90.28	91.86	88.75
Char-based (LSTM) + ExSoftword 2019.08	88.97	90.77	87.23
Char-based (LSTM) 2019.08	88.81	90.74	86.96
Char-based (LSTM) 2019.08	88.81	90.74	86.96
Lu et al. [30] 2019.04	87.94	-	-
Lu et al. 2016 2019.08	87.94	-	-
Lu et al. 2016 2019.08	87.94	-	-
Lu et al. (2016) 2021.07	87.94	-	-
Chen et al. [27] 2019.04	86.2	91.22	81.71
Chen et al., 2006 2019.08	86.2	91.22	81.71
Chen et al., 2006 2019.08	86.2	91.22	81.71
Chen et al. (2006) 2021.07	86.2	91.22	81.71