Instead of trying to grade answers completely automatically, we attempt to leverage the abilities of both the human and the machine.
instead of classifying individual answers as being right or wrong, we propose to automatically find groupings and subgroupings of similar answers from a large set of answers to the same question, and let teachers apply their expertise to mark the groups.