1. A method for assessing an editorial quality of a textual unit, the method comprising: generating a plurality of training-time feature vectors by automatically extracting features from first and last versions of training documents; training a machine-learned classifier based on the plurality of training-time feature vectors; generating a run-time feature vector for the textual unit to be assessed by automatically extracting features from the textual unit; and evaluating the run-time feature vector using the machine-learned classifier to provide an assessment of the editorial quality of the textual unit.