text: This reviewer has found the proposed approach quite compelling,  but the empirical validation requires significant improvements: 1) you should include in your comparison Query-by- Bagging & Boosting,  which are two of the best out-of-the-box active learning strategies 2) in your empirical validation you have (arbitrarily) split the 14 datasets in 7 training and testing ones,  but many questions are still unanswered:  -  would any 7-7 split work just as well (ie, cross-validate over the 14 domains)  - do you what happens if you train on 1, 2, 3, 8, 10, or 13 domains? are the results significantly different?  OTHER COMMENTS: - p3: both images in Figure 1 are labeled Figure 1.a - p3: typo "theis" --> "this"  Abe & Mamitsuksa (ICML-1998). Query Learning Strategies Using Boosting and Bagging.