List your company

Named Entity Recognition on Wnut 2017

68.72F1 ScoreKnowCoder-X
16.376829.965943.55557.1441Sep 3, 2019Oct 10, 2020Nov 18, 2021Dec 27, 2022Feb 3, 2024Mar 13, 2025Apr 21, 2026

Evaluation results

MethodLinks
KnowCoder-Xevaluation=supervised2024.1168.72———
KnowCoderevaluation=supervised2024.1166.4———
RoBERTa-BiLSTM-CRF + WOMEnhancement=Window-oriented Optimization Module2026.0461.39———
Context + WOMEnhancement=Window-oriented Optimization Module2026.0460.91———
CL-KLEvaluation Setting=W/ CONTEXT2021.0560.45———
SoTAModel=RoBERTa2024.0960.45———
CL-KL2026.0460.45———
SubRegWeighModel=RoBERTa, Variant=K-means2024.0960.29———
CL-L2Evaluation Setting=W/ CONTEXT2021.0560.26———
W/ CONTEXT (Baseline)Evaluation Setting=W/ CONTEXT2021.0560.2———
CrossWeighModel=RoBERTa2024.0960.19———
SubRegWeighModel=RoBERTa, Variant=Random2024.0960.15———
SubRegWeighModel=RoBERTa, Variant=Cos-Sim2024.0960.05———
VanillaModel=RoBERTa2024.0960.04———
RoBERTa-BiLSTM + Global Context MechanismBackbone=RoBERTa, Architecture Component=BiLSTM + Global Context Mechanism2023.0559.61———
RoBERTa-BiLSTMBackbone=RoBERTa, Architecture Component=BiLSTM2023.0559.58———
RoBERTa-BiLSTM-CRFArchitecture=BiLSTM-CRF, Backbone=RoBERTa2026.0459.54———
CL-KLEvaluation Setting=W/O CONTEXT2021.0559.33———
RoBERTa + CRFBackbone=RoBERTa, Architecture Component=CRF2023.0559.31———
RoBERTa + Global Context MechanismBackbone=RoBERTa, Architecture Component=Global Context Mechanism2023.0559.27———
Context(RoBERTa)Backbone=RoBERTa2026.0459.03———
RoBERTa - large + RegLERSUBWORD=true, CLASS=true, TEMP=true2021.0458.9——58.3
RoBERTa-BiLSTM + self-attentionBackbone=RoBERTa, Architecture Component=BiLSTM + self-attention2023.0558.89———
CL-L2Evaluation Setting=W/O CONTEXT2021.0558.68———
RoBERTaBackbone=RoBERTa2023.0558.29———
BiLSTM(2) (RoBERTa features)Backbone=RoBERTa, Architecture Component=BiLSTM(2)2023.0558.16———
RoBERTa + linearBackbone=RoBERTa, Architecture Component=linear2023.0557.97———
W/O CONTEXT (Baseline)Evaluation Setting=W/O CONTEXT2021.0557.86———
RoBERTa + self-attentionBackbone=RoBERTa, Architecture Component=self-attention2023.0557.79———
RoBERTa - large + BPSUBWORD=false, CLASS=false, TEMP=false2021.0457.5——56.1
RoBERTa-BiLSTM + CRFBackbone=RoBERTa, Architecture Component=BiLSTM + CRF2023.0557.46———
RoBERTa^ASABackbone architecture=RoBERTa, ASA=true2022.0657.3———
RoBERTa - largeSUBWORD=false, CLASS=false, TEMP=false2021.0457.1——55.9
Nguyen et al.2021.0556.5———
BERT-BiLSTM + Global Context MechanismBackbone=BERT, Architecture Component=BiLSTM + Global Context Mechanism2023.0556.26———
MINER + WOMEnhancement=Window-oriented Optimization Module2026.0455.88———
BERT-BiLSTM + CRFBackbone=BERT, Architecture Component=BiLSTM + CRF2023.0555.82———
SpanNER + WOMEnhancement=Window-oriented Optimization Module2026.0455.77———
BERT-BiLSTMBackbone=BERT, Architecture Component=BiLSTM2023.0555.76———
LUKEEvaluation Setting=W/O CONTEXT2021.0555.22———
BERT + CRFBackbone=BERT, Architecture Component=CRF2023.0555.16———
BERT + self-attentionBackbone=BERT, Architecture Component=self-attention2023.0555.08———
RoBERTaBackbone architecture=RoBERTa2022.0654.8———
BERT + Global Context MechanismBackbone=BERT, Architecture Component=Global Context Mechanism2023.0554.78———
BERT-BiLSTM + self-attentionBackbone=BERT, Architecture Component=BiLSTM + self-attention2023.0554.56———
MINER(BERT)Backbone=BERT2026.0454.53———
BiLSTM(2) (BERT features)Backbone=BERT, Architecture Component=BiLSTM(2)2023.0554.17———
BERTBackbone=BERT2023.0553.77———
YAYI-UIEevaluation=supervised2024.1153.7———
BERT + linearBackbone=BERT, Architecture Component=linear2023.0553.41———
SPANNERvariant=both (sp2)2021.0652.97———
RoBERTa - base + RegLERSUBWORD=true, CLASS=true, TEMP=true2021.0452.8——51.2
RegLER(BERT)Backbone=BERT2026.0452.74———
RoBERTa - base + BPSUBWORD=false, CLASS=false, TEMP=false2021.0452.5——50.8
RoBERTa - baseSUBWORD=false, CLASS=false, TEMP=false2021.0452.4——50.1
SPANNERvariant=generic (sp1)2021.0652.05———
GoLLIE-7BParameters=7B2026.0452———
SpanNER(BERT)Backbone=BERT2026.0451.2———
BERT - large + RegLERSUBWORD=true, CLASS=true, TEMP=true2021.0450.7——49.3
AESINER2020.1050.68———
Nie et al.2021.0550.36———
BERT†^ASABackbone architecture=BERT, Pre-training strategy=longer-trained with MLM, ASA=true2022.0650.3———
FlairCrossWeigh=true2019.0950.03———
BERT - large + BPSUBWORD=false, CLASS=false, TEMP=false2021.0449.9——48.1
BERT^ASABackbone architecture=BERT, ASA=true2022.0649.8———
BERT - largeSUBWORD=false, CLASS=false, TEMP=false2021.0449.6——47.7
Akbik et al. (2019)2020.1049.59———
Devlin et al. (2019)text_encoder=BERT2020.1049.52———
BERT†Backbone architecture=BERT, Pre-training strategy=longer-trained with MLM2022.0649.2———
Yan et al. (2019)2020.1048.98———
FlairCrossWeigh=false2019.0948.96———
sq4Char/Sub.=ELMo, Word=rand, Sent.=LSTM2021.0648.91———
Luo et al. (2018)result_source=Run by authors2020.1048.63———
BERT2026.0448.14———
Dang et al. (2018)2020.1048.12———
BERTBackbone architecture=BERT2022.0647.8———
BERT - base + RegLERSUBWORD=true, CLASS=true, TEMP=true2021.0447.8——46.6
sq5Char/Sub.=ELMo, Word=none, Sent.=LSTM2021.0647.35———
sq3Char/Sub.=BERT, Word=none, Sent.=LSTM2021.0646.47———
sq2Char/Sub.=BERT, Word=GloVe, Sent.=LSTM2021.0645.23———
BERT - baseSUBWORD=false, CLASS=false, TEMP=false2021.0445.1——43.1
sq0Char/Sub.=Flair, Word=GloVe, Sent.=LSTM2021.0644.75———
BERT - base + BPSUBWORD=false, CLASS=false, TEMP=false2021.0444.3——42.3
sq1Char/Sub.=Flair, Word=none, Sent.=LSTM2021.0643.57———
Zhou et al. (2019)2020.1042.83———
Zhou et al.2021.0542.83———
sq6Char/Sub.=cnn, Word=glove, Sent.=LSTM2021.0636.41———
BERTevaluation=supervised, implementation=this paper2024.1136.16———
sq7Char/Sub.=cnn, Word=none, Sent.=LSTM2021.0633.72———
sq8Char/Sub.=none, Word=glove, Sent.=LSTM2021.0618.77———
sq9Char/Sub.=none, Word=rand, Sent.=LSTM2021.0618.39———
CL-KL+SUBWORD=false, CLASS=false, TEMP=false2021.04———60.5
CONTAINERShot=1-shot, Evaluation Protocol=original paper2022.11—24.2——
CONTAINERShot=1-shot, Evaluation Protocol=reproduced2022.11—26.67——
CONTAINERShot=5-shot, Evaluation Protocol=original paper2022.11—27.7——
CONTAINERShot=5-shot, Evaluation Protocol=reproduced2022.11—35.83——
DemonstrateNERShot=1-shot, Evaluation Protocol=reproduced2022.11—20.38——
DemonstrateNERShot=5-shot, Evaluation Protocol=reproduced2022.11—43.85——
DualEncoderShot=1-shot, Evaluation Protocol=reproduced2022.11—36.03——
DualEncoderShot=5-shot, Evaluation Protocol=reproduced2022.11—36.82——