BOND is Accepted by KDD 2020
Our recent work on distantly supervised NER is accepted by KDD2020. We are closing the GAP between full supervision and no supervision! See our code here: https://github.com/cliang1453/BOND
The reuslts (F1 score) are summerized as follows:
| Method | CoNLL03 | Tweet | OntoNote5.0 | Webpage | Wikigold |
|---|---|---|---|---|---|
| Full Supervision | 91.21 | 52.19 | 86.20 | 72.39 | 86.43 |
| Previous SOTA | 76.00 | 26.10 | 67.69 | 51.39 | 47.54 |
| BOND | 81.48 | 48.01 | 68.35 | 65.74 | 60.07 |
- Full Supervision: Roberta Finetuning/BiLSTM CRF
- Previous SOTA: BiLSTM-CRF/AutoNER/LR-CRF/KALM/CONNET
Reference⌗
BOND: Bert-Assisted Open-Domain Named Entity Recognition with Distant Supervision 2020
Chen Liang*, Yue Yu*, Haoming Jiang*, Siawpeng Er, Ruijia Wang, Tuo Zhao and Chao Zhang (* Equal Contribution)
The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020