Unsupervised POS tagging on WSJ entire corpus (full)
80.8M1 ScoreInvertible Neural Projections
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Invertible Neural Projectionshand-engineered features=false, Number of layers=8 layers2018.08 | 80.8 | 74.1 | |
| Cluster (word-based)hand-engineered features=true2018.08 | 80.2 | 72.1 | |
| Invertible Neural Projectionshand-engineered features=false, Number of layers=4 layers2018.08 | 79.5 | 73 | |
| Cluster (token-based)hand-engineered features=true2018.08 | 79.5 | 69.1 | |
| NHMM (+ Conv & LSTM)hand-engineered features=false2018.08 | 79.1 | 71.7 | |
| PYP-HMMhand-engineered features=false2018.08 | 77.5 | 69.8 | |
| Brown (+ proto)hand-engineered features=true2018.08 | 76.1 | 68.8 | |
| Feature HMMhand-engineered features=true2018.08 | 75.5 | — | |
| Gaussian HMMhand-engineered features=false2018.08 | 75.4 | 68.5 | |
| NHMM (+ Conv)hand-engineered features=false2018.08 | 74.1 | 66.1 | |
| Invertible Neural Projectionshand-engineered features=false, Number of layers=16 layers2018.08 | 73.2 | 70.5 | |
| Discrete HMMhand-engineered features=false2018.08 | 62.7 | 53.8 | |
| NHMM (basic)hand-engineered features=false2018.08 | 59.8 | 54.2 |