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Named Entity Recognition on WNUT 2017 (test)

60.98F1 ScoreEnd-to-end BLSTM-CRF
10.862423.873736.88549.8963Jun 10, 2019Apr 8, 2020Feb 6, 2021Dec 7, 2021Oct 7, 2022Aug 7, 2023Jun 6, 2024

Evaluation results

MethodLinks
End-to-end BLSTM-CRFClass=location2019.0660.9878.1250————————
Stacked BLSTM-CRFClass=person2019.0660.2573.4951.05————————
End-to-end BLSTM-CRFClass=person2019.0659.9271.1551.75————————
UH-RITUALClass=person2019.0658.6670.7250.12————————
CA-MTLBackbone=RoBERTa-Large, Architecture=24-task CA-MTL2020.0958——————————
XLM-R_LARGEBackbone=XLM-R-Large2020.0957.1——————————
Stacked BLSTM-CRFClass=location2019.0657.0462.252.67————————
RoBERTa_LARGEBackbone=RoBERTa-Large2020.0956.9——————————
MINERBackbone=Roberta large2022.0454.86——————————
MINERBackbone=Bert large2022.0454.52——————————
UH-RITUALClass=location2019.0652.8656.9249.33————————
DataAug2022.0452.29——————————
MINERBackbone=Albert large2022.0451.94——————————
SpanNERBackbone=Bert large2022.0451.83——————————
SpanNERBackbone=Roberta large2022.0451.65——————————
VaniIB2022.0451.6——————————
InferNER2022.0450.52——————————
SANERaugmentation module=true, gate module=true2020.1050.36——————————
SA-NER2022.0450.36——————————
MIN2022.0449.93——————————
Akbik et al.2020.1049.59——————————
Devlin et al.2020.1049.52——————————
SpanNERBackbone=AlBert large2022.0449.13——————————
Yan et al.2020.1048.98——————————
REAMOinput_modality=Text+Image, scenario=zero-shot2024.0647.4——————————
BiLSTM-CRF+BERT uncased + truecaserTrain Case=Uncased, Embeddings=BERT uncased, Truecaser=included2019.1246.9——————————
BiLSTM-CRF+BERT uncasedTrain Case=Uncased, Embeddings=BERT uncased2019.1246.1——————————
Akbik, Blythe, and Vollgraf 2018Train Case=Cased2019.1246——————————
Aguilar et al. 2018Train Case=Uncased2019.1245.6——————————
Stacked BLSTM-CRFClass=Overall2019.0645.5561.0636.33————————
MiniGPT-v2input_modality=Text+Image, scenario=zero-shot2024.0645.4——————————
End-to-end BLSTM-CRFClass=Overall2019.0644.1466.6732.99————————
BiLSTM-CRF+GloVe uncased + truecaserTrain Case=Cased, Embeddings=GloVe uncased, Truecaser=included2019.1243.7——————————
BiLSTM-CRF+GloVe uncased + truecaserTrain Case=Uncased, Embeddings=GloVe uncased, Truecaser=included2019.1243.2——————————
Cross-BiLSTM-CNN2019.0842.8558.2833.92————————
Zhou et al.2020.1042.83——————————
GloVe + Gold case vectorsTrain Case=Uncased, Embeddings=GloVe + Gold case vectors2019.1242.8——————————
Att-BiLSTM-CNN2019.0842.2655.8234.08————————
UH-RITUALClass=Overall2019.0641.8657.5432.9————————
BiLSTM-CRF+GloVe uncasedTrain Case=Uncased, Embeddings=GloVe uncased2019.1241.1——————————
BiLSTM-CRF+GloVe uncasedTrain Case=Cased, Embeddings=GloVe uncased2019.1241——————————
Baseline-BiLSTM-CNN2019.0840.6853.2432.93————————
CoFEE2022.0439.1——————————
Data augmentation (Mayhew et al. 2019)Train Case=Cased+Uncased2019.1238.6——————————
CRF-BiLSTMcharacter-based word vectors=true2019.0838.24——————————
Data augmentation (Mayhew et al. 2019)Train Case=Cased+Uncased2019.1234.8——————————
BiLSTM-CRF+GloVe uncased + truecaserTrain Case=Cased, Embeddings=GloVe uncased, Truecaser=included2019.1230.2————12.5—————
Stacked BLSTM-CRFClass=product2019.0628.5740.5822.05————————
Stacked BLSTM-CRFClass=group2019.0627.5947.7619.39————————
InstructBLIP+SEEMinput_modality=Text+Image, scenario=zero-shot2024.0626.9——————————
UH-RITUALClass=corporation2019.0626.5531.9122.73————————
Stacked BLSTM-CRFClass=corporation2019.0624.7633.3319.7————————
MAML2022.0424.19——————————
UH-RITUALClass=group2019.0624.1441.7916.97————————
End-to-end BLSTM-CRFClass=group2019.0623.6563.1614.55————————
LLaVA+SEEMinput_modality=Text+Image, scenario=zero-shot2024.0623——————————
Stacked BLSTM-CRFClass=creative-work2019.0622.835014.79————————
End-to-end BLSTM-CRFClass=creative-work2019.0617.7555.5610.56————————
End-to-end BLSTM-CRFClass=corporation2019.0617.3930.7712.12————————
BiLSTM-CRF+GloVe uncasedTrain Case=Cased, Embeddings=GloVe uncased2019.1215.7——————————
End-to-end BLSTM-CRFClass=product2019.0614.8134.299.45————————
UH-RITUALClass=product2019.0614.4630.779.45————————
UH-RITUALClass=creative-work2019.0612.7936.677.75————————
Aguilar et al.Lexical Normalization=hard2020.05———41.940.2——————
Arcada2019.06———39.9837.77——————
Bert-basebackbone=BERT-base, shot-size=52022.03———————23.2———
BERTweetLexical Normalization=soft2020.05———56.555.1——————
BERTweetLexical Normalization=hard2020.05———55.654.1——————
BiLSTM-CRF+BERT uncased + truecaserTrain Case=Uncased, Embeddings=BERT uncased, Truecaser=included2019.12—————0.3—————
BiLSTM-CRF+GloVe uncased + truecaserTrain Case=Uncased, Embeddings=GloVe uncased, Truecaser=included2019.12—————1.4—————
CONTAINER#Param=345M, shot=1-shot2023.05———————15.64———
CONTAINER#Param=345M, shot=5-shot2023.05———————20.37———
Cross Weigh2022.09————————50.3——
DATNetLexical Normalization=soft2020.05———42.3———————
Devlin et al.re-implemented=true2020.10——————46.73————
Drexel-CCI2019.06———26.325.26——————
FLYTXT2019.06———38.3536.31——————
GPT-J-6B#Param=6B, shot=1-shot2023.05———————31.41———
GPT-J-6B#Param=6B, shot=5-shot2023.05———————30.93———
GPT-Neox-20B#Param=20B, shot=1-shot2023.05———————36.29———
GPT-Neox-20B#Param=20B, shot=5-shot2023.05———————35.68———
GPT2-xl#Param=1.5B, shot=1-shot2023.05———————22.63———
GPT2-xl#Param=1.5B, shot=5-shot2023.05———————24.86———
MetaNER#Param=770M, shot=1-shot2023.05———————31.59———
MetaNER#Param=770M, shot=5-shot2023.05———————36.52———
MetaNER-base#Param=220M, shot=1-shot2023.05———————25.55———
MetaNER-base#Param=220M, shot=5-shot2023.05———————30.41———
MIC-CIS2019.06———37.0634.25——————
NNShot#Param=345M, shot=1-shot2023.05———————15.26———
NNShot#Param=345M, shot=5-shot2023.05———————21.78———
OPT-13B#Param=13B, shot=1-shot2023.05———————27.74———
OPT-13B#Param=13B, shot=5-shot2023.05———————28.36———
OPT-30B#Param=30B, shot=1-shot2023.05———————25.85———
OPT-30B#Param=30B, shot=5-shot2023.05———————27.44———
OPT-66B#Param=66B, shot=1-shot2023.05———————30.77———
OPT-66B#Param=66B, shot=5-shot2023.05———————32———
Protobackbone=RoBERTa, shot-size=52022.03———————29.5———
Proto-DSbackbone=RoBERTa, shot-size=5, distant-supervision=true2022.03———————35.9———
ProtoNet#Param=345M, shot=1-shot2023.05———————9.74———
ProtoNet#Param=345M, shot=5-shot2023.05———————23.03———