Part-of-speech tagging on Penn Treebank POS (test)
97.58F1 ScoreLSTM-CRF+char-IntNet-5
Evaluation Results
| Method | Links | |
|---|---|---|
| LSTM-CRF+char-IntNet-5Character Embedding Model=IntNet-52018.10 | 97.58 | |
| LSTM-Softmax+char-LSTMCharacter Embedding Model=LSTM, Reference=Ling et al., 20152018.10 | 97.55 | |
| LSTM-CRF+char-CNNCharacter Embedding Model=CNN, Reference=Ma and Hovy, 20162018.10 | 97.55 | |
| GRM-CRF+char-GRUCharacter Embedding Model=GRU, Reference=Yang et al., 20172018.10 | 97.55 | |
| LSTM-CRF+char-IntNet-9Character Embedding Model=IntNet-92018.10 | 97.51 | |
| LSTM-CRF+char-LSTMCharacter Embedding Model=LSTM, Type=Re-implementation2018.10 | 97.49 | |
| LSTM-CRF+char-CNNCharacter Embedding Model=CNN, Type=Re-implementation2018.10 | 97.45 | |
| LSTM-CRF+LexiconLexicon Usage=true, Reference=Huang et al., 20152018.10 | 97.43 | |
| Conv-CRF+LexiconLexicon Usage=true, Reference=Collobert et al., 20112018.10 | 97.29 | |
| LSTM-CRFType=Baseline2018.10 | 96.63 |