--- a/writeup/aistats_review_response.txt	Sun Jan 09 21:47:28 2011 -0500
+++ b/writeup/aistats_review_response.txt	Sun Jan 09 22:00:39 2011 -0500
@@ -28,7 +28,8 @@
 RBF SVM,     NISTP, 100k,  original,           74.73%,  56.57%,     64.22%
 
 The best results were obtained with the sparse quadratic input features, and
-training on the CLEAN data (NIST) rather than the perturbed data (NISTP).
+training on the CLEAN data (NIST) rather than the perturbed data (NISTP). 
+A summary of the above results was added to the revised paper.
 
 
 * Using distorted characters as the corruption process of the Denoising
@@ -59,7 +60,8 @@
 was 20 seconds) and 6 seconds seconds for NISTP (average response time of
 45 seconds) (4) discarding responses which were obviously wrong (10
 identical ones, or "12345..."). Overall, after such filtering, we kept
-approximately 95% of the AMT workers' responses. We thank the reviewer for
+approximately 95% of the AMT workers' responses. The above paragraph
+was added to the revision. We thank the reviewer for
 the suggestion about multi-stage questionnaires, we will definitely
 consider this as an option next time we perform this experiment. However,
 to be fair, if we were to do so, we should also consider the same