Sentiment Classification on SemEval Laptop (test)
76.15AccuracyDependency Parser + Recurrent NN
Evaluation results
| Method | Links | |
|---|---|---|
| Dependency Parser + Recurrent NNFeature=Root, Recursive NN vector size=302025.11 | 76.15 | |
| Dependency Parser + Recurrent NNFeature=Root, Recursive NN vector size=502025.11 | 75.75 | |
| Constituency Parser + Recurrent NNFeature=Root, Recursive NN vector size=302025.11 | 74.2 | |
| IARM2025.11 | 73.8 | |
| Constituency Parser + Recurrent NNFeature=Root, Recursive NN vector size=502025.11 | 73.73 | |
| Dependency Parser + Recurrent NNFeature=Root, Recursive NN vector size=1002025.11 | 73.7 | |
| Constituency Parser + Recurrent NNFeature=Root, Recursive NN vector size=1002025.11 | 72.97 | |
| Dependency Parser + Recurrent NNFeature=Gold aspect label, Recursive NN vector size=302025.11 | 72.9 | |
| Dependency Parser + Recurrent NNFeature=Gold aspect label, Recursive NN vector size=502025.11 | 72.85 | |
| Dependency Parser + Recurrent NNFeature=Gold aspect label, Recursive NN vector size=1002025.11 | 72.48 | |
| Constituency Parser + Recurrent NNFeature=Leaves, Recursive NN vector size=302025.11 | 72.23 | |
| Constituency Parser + Recurrent NNFeature=Leaves, Recursive NN vector size=502025.11 | 72.1 | |
| Constituency Parser + Recurrent NNFeature=Leaves, Recursive NN vector size=1002025.11 | 72 |