Results obtained with our latent Dirichlet projection model on the data from the first Recognizing Textual Entailment Challenge for two document lengths N = 106 and N = 107 using a cut-off for the degree of entailment of 0.5 at which entailment was regarded as holding.
| Model . | Accuracy . | CWS . |
|---|---|---|
| Dirichlet (106) | 0.584 | 0.630 |
| Dirichlet (107) | 0.576 | 0.642 |
| Bayer (MITRE) | 0.586 | 0.617 |
| Glickman (Bar Ilan) | 0.586 | 0.572 |
| Jijkoun (Amsterdam) | 0.552 | 0.559 |
| Newman (Dublin) | 0.565 | 0.6 |
| Model . | Accuracy . | CWS . |
|---|---|---|
| Dirichlet (106) | 0.584 | 0.630 |
| Dirichlet (107) | 0.576 | 0.642 |
| Bayer (MITRE) | 0.586 | 0.617 |
| Glickman (Bar Ilan) | 0.586 | 0.572 |
| Jijkoun (Amsterdam) | 0.552 | 0.559 |
| Newman (Dublin) | 0.565 | 0.6 |