| Paper | Code | F1 score | ModelName | ReleaseDate |
|---|---|---|---|---|
| Automated Concatenation of Embeddings for Structured Prediction | ✓ Link | 97.3 | ACE | 2020-10-10 |
| Contextual String Embeddings for Sequence Labeling | ✓ Link | 96.72 | Flair embeddings | 2018-08-01 |
| A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks | ✓ Link | 95.77 | JMT | 2016-11-05 |
| Deep multi-task learning with low level tasks supervised at lower layers | 95.57 | Low supervision | 2016-08-01 | |
| Learning Better Internal Structure of Words for Sequence Labeling | 95.29 | IntNet + BiLSTM-CRF | 2018-10-29 | |
| []() | 95.15 | Suzuki and Isozaki | ||
| NCRF++: An Open-source Neural Sequence Labeling Toolkit | ✓ Link | 95.06 | NCRF++ | 2018-06-14 |
| Bidirectional LSTM-CRF Models for Sequence Tagging | ✓ Link | 94.46 | BI-LSTM-CRF (Senna) (ours) | 2015-08-09 |