@@ -40,3 +40,4 @@ We collect relevant papers for Interpretability using MTL framework here.
...
@@ -40,3 +40,4 @@ We collect relevant papers for Interpretability using MTL framework here.
## Datasets
## Datasets
1.**Using "Annotator Rationales" to Improve Machine Learning for Text Categorization***Omar F. Zaidan, Jason Eisner, Christine D. Piatko* ACL2007. [paper](https://www.aclweb.org/anthology/N07-1033)[dataset](https://www.cs.jhu.edu/%E2%88%BCozaidan/rationales) dataset is not accessible, can be downloaded using way-back-machine, however.