... | ... | @@ -41,3 +41,5 @@ We collect relevant papers for Interpretability using MTL framework here. |
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## Datasets
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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.
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2. ** A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts** *Bo Pang and Lillian Lee* ACL2004. [paper](https://arxiv.org/abs/cs/0409058) dataset online downloadable through [here](http://www.cs.cornell.edu/people/pabo/movie-review-data/). This is the dataset on which the Zaidan2007 did the annotation. |
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