Methods › Natural Language Processing › Text Augmentation
Text Augmentation
Semi-Supervised Learning methods leverage unlabelled data as well as labelled data to increase performance on machine learning tasks. Below you can find a continuously updating list of semi-supervised learning methods (this may have overlap with self-supervised methods due to evaluation protocol similarity).
Methods
All 2 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| MixText | – | 3 |
| Augmented SBERT | – | 1 |