Text Classification on EUR-Lex
80.2Precision@1NLP-Cap
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| NLP-Cap2019.06 | 80.2 | 65.48 | 52.83 | 80.2 | 71.11 | 68.8 | |
| XML-CNN2019.06 | 75.65 | 61.81 | 50.9 | 75.65 | 66.71 | 64.45 | |
| PD-Sparse2019.06 | 72.1 | 57.74 | 47.48 | 72.1 | 61.33 | 55.93 | |
| FastText2019.06 | 71.51 | 60.37 | 50.41 | 71.51 | 63.32 | 58.56 | |
| CNN-Kim2019.06 | 68.35 | 54.45 | 44.07 | 68.35 | 59.81 | 57.99 | |
| FastXML2019.06 | 68.12 | 57.93 | 48.97 | 68.12 | 60.66 | 56.42 | |
| Bow-CNN2019.06 | 64.99 | 51.68 | 42.32 | 64.99 | 55.03 | 49.92 |