Assessing numerous models from students in written exams or homework is an exhausting task. We present an approach for a fair and transparent assessment of the completeness of models according to a natural language domain description. The assessment is based on checklists automatically created by the tool Sumoχ we present. Sumoχ directly works on an annotated version of the original exam text, so no `gold standard' is needed.