Named Entity Recognition on WNUT 2016
60.69F1 ScoreContext + WOM
Evaluation Results
| Method | Links | |
|---|---|---|
| Context + WOMEnhancement=Window-oriented Optimization Module2026.04 | 60.69 | |
| RoBERTa-BiLSTM-CRF + WOMEnhancement=Window-oriented Optimization Module2026.04 | 60.35 | |
| RoBERTa-BiLSTM-CRFArchitecture=BiLSTM-CRF, Backbone=RoBERTa2026.04 | 59.03 | |
| CL-KLEvaluation Setting=W/ CONTEXT2021.05 | 58.98 | |
| CL-KL2026.04 | 58.98 | |
| CL-L2Evaluation Setting=W/ CONTEXT2021.05 | 58.61 | |
| CL-KLEvaluation Setting=W/O CONTEXT2021.05 | 58.14 | |
| W/ CONTEXT (Baseline)Evaluation Setting=W/ CONTEXT2021.05 | 57.43 | |
| CL-L2Evaluation Setting=W/O CONTEXT2021.05 | 57.35 | |
| MINER + WOMEnhancement=Window-oriented Optimization Module2026.04 | 56.67 | |
| Context(RoBERTa)Backbone=RoBERTa2026.04 | 56.55 | |
| SPANNERvariant=both (sp2)2021.06 | 56.27 | |
| W/O CONTEXT (Baseline)Evaluation Setting=W/O CONTEXT2021.05 | 56.04 | |
| SPANNERvariant=generic (sp1)2021.06 | 55.7 | |
| Zhou et al.2021.05 | 55.43 | |
| SpanNER + WOMEnhancement=Window-oriented Optimization Module2026.04 | 55.36 | |
| AESINER2020.10 | 55.14 | |
| Nie et al.2021.05 | 55.01 | |
| Devlin et al. (2019)text_encoder=BERT2020.10 | 54.36 | |
| Yan et al. (2019)2020.10 | 54.06 | |
| LUKEEvaluation Setting=W/O CONTEXT2021.05 | 54.04 | |
| Zhou et al. (2019)2020.10 | 53.43 | |
| MINER(BERT)Backbone=BERT2026.04 | 53.28 | |
| SpanNER(BERT)Backbone=BERT2026.04 | 53.17 | |
| sq1Char/Sub.=Flair, Word=none, Sent.=LSTM2021.06 | 52.22 | |
| Nguyen et al.2021.05 | 52.1 | |
| sq0Char/Sub.=Flair, Word=GloVe, Sent.=LSTM2021.06 | 52.07 | |
| Dang et al. (2018)2020.10 | 51.84 | |
| Luo et al. (2018)result_source=Run by authors2020.10 | 51.26 | |
| sq4Char/Sub.=ELMo, Word=rand, Sent.=LSTM2021.06 | 50.22 | |
| sq2Char/Sub.=BERT, Word=GloVe, Sent.=LSTM2021.06 | 50.18 | |
| sq3Char/Sub.=BERT, Word=none, Sent.=LSTM2021.06 | 49.87 | |
| sq5Char/Sub.=ELMo, Word=none, Sent.=LSTM2021.06 | 49.86 | |
| BERT2026.04 | 48.49 | |
| sq6Char/Sub.=cnn, Word=glove, Sent.=LSTM2021.06 | 42.04 | |
| sq7Char/Sub.=cnn, Word=none, Sent.=LSTM2021.06 | 39.4 | |
| sq8Char/Sub.=none, Word=glove, Sent.=LSTM2021.06 | 20.68 | |
| sq9Char/Sub.=none, Word=rand, Sent.=LSTM2021.06 | 17.24 |