Comments (2)
We wrote about it in the appendix (B Experimental Choices) as follows : "Variants of the Product Review Data There are two releases of the datasets of the Blitzer et al. (2007) cross-domain product review task. We use the one from http://www.cs.jhu.edu/˜mdredze/datasets/sentiment/index2.html where the data is imbalanced, consisting of more positive than negative reviews.
We believe that our setup is more realistic as when collecting unlabeled data, it is hard to get a
balanced set. Note that Blitzer et al. (2007) used the other release where the unlabeled data consists
of the same number of positive and negative reviews.
from structural-correspondence-learning-scl.
I know that "Danushka Bollegala, Takanori Maehara, and Ken-ichi Kawarabayashi. 2015. Unsupervised cross-domain word representation learning. In Proc. of ACL." also used this variant.
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Related Issues (3)
- Unsatisfying result HOT 4
- index out of range error HOT 6
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