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Named Entity Recognition on OntoNotes 4.0 (test)

89.52F1 Score

Context-to-Vec

Updated 3d ago

Evaluation Results

Method
Context-to-Vec 2022.10	89.52	-	-	92.8
GloVe 2022.10	89.13	-	-	91.84
BERT+Skip-gram 2022.10	88.98	-	-	92.3
SynGCN 2022.10	88.75	-	-	92.23
BERTavg 2022.10	84.51	-	-	90.76
Skip-gram 2022.10	83.9	-	-	89.03
W2NER 2021.12	83.08	82.31	83.36	-
SoftLexicon (LSTM) + BERT 2019.08	82.81	83.41	82.21	-
Ma et al. (2020) 2021.12	82.81	83.41	82.21	-
BABERT-LE 2022.10	82.35	-	-	-
ChineseBERT 2021.06	82.18	80.77	83.65	-
BABERT 2022.10	81.9	-	-	-
BERT + LSTM + CRF 2019.08	81.82	81.99	81.65	-
Li et al. (2020b) 2021.12	81.82	-	-	-
NEZHA 2022.10	81.74	-	-	-
ChineseBERT 2021.06	81.65	80.03	83.33	-
BERT-LE 2022.10	81.59	-	-	-
RoBERTa 2021.06	81.39	80.72	82.07	-
BERT 2022.10	80.98	-	-	-
ERNIE-Gram 2022.10	80.96	-	-	-
BERT 2021.06	80.87	79.69	82.09	-
BERT-wwm 2022.10	80.87	-	-	-
ERNIE 2022.10	80.38	-	-	-
RoBERTa 2021.06	80.37	80.43	80.3	-
ZEN 2022.10	80.06	-	-	-
BERT-Tagger 2019.08	77.93	76.01	79.96	-
Yang et al. 2016 2019.04	76.4	72.98	80.15	-
Yang et al., 2016*† 2019.08	76.4	72.98	80.15	-
SoftLexicon (LSTM) + bichar 2019.08	76.16	77.13	75.22	-
Word-based (LSTM) + char + bichar 2019.08	75.77	78.62	73.13	-
SoftLexicon (LSTM) 2019.08	75.64	77.28	74.07	-
Che et al. 2013 2019.04	75.02	77.71	72.51	-
Che et al., 2013* 2019.08	75.02	77.71	72.51	-
LR-CNN (Gui et al., 2019) 2019.08	74.45	76.4	72.6	-
Gui et al. (2019) 2021.12	74.45	76.4	72.6	-
Wang et al. 2013 2019.04	74.32	76.43	72.32	-
Wang et al., 2013* 2019.08	74.32	76.43	72.32	-
Zhang and Yang 2018 2019.04	73.88	76.35	71.56	-
Lattice-LSTM 2019.08	73.88	76.35	71.56	-
Zhang and Yang (2018) 2021.12	73.88	76.35	71.56	-
Lattice 2022.10	73.88	-	-	-
CAN Model 2019.04	73.64	75.05	72.29	-
Yan et al. (2019) 2021.12	72.43	-	-	-
Char-based (LSTM) + bichar + ExSoftword 2019.08	72.4	73.8	71.05	-
Baseline + CNN 2019.04	72.1	72.69	71.51	-
Char-based (LSTM) + bichar + softword 2019.08	71.89	74.36	69.43	-
Zhang and Yang 2018 2019.04	71.81	74.36	69.43	-
Word-based (LSTM) + char + bichar 2019.08	71.7	73.36	70.12	-
Baseline 2019.04	71.15	70.67	71.64	-
Word-based (LSTM) 2019.08	69.52	76.66	63.6	-
Yang et al. 2016 2019.04	68.57	65.59	71.84	-
Yang et al., 2016 2019.08	68.57	65.59	71.84	-
Char-based (LSTM) + ExSoftword 2019.08	68.13	69.9	66.46	-
Word-based (LSTM) 2019.08	65.63	72.84	59.72	-
Char-based (LSTM) 2019.08	64.3	68.79	60.35	-