2. The method of claim 1 , wherein finding the one or more answers in the syllabus of topics for each question in the question paper comprises using the question answering system to find one or more answers having a highest confidence score for each question in the question paper.
1. A method, in a data processing system, for determining comprehensiveness of a question paper given a syllabus of topics, the method comprising: finding, by an answer and evidence generator of a question answering system executing on the data processing system, one or more answers based on the syllabus of topics for each question in the question paper; identifying, by the answer and evidence generator, evidence for the one or more answers in the syllabus for each question in the question paper; identifying, by a concept identifier of the question answering system, a set of concepts in the syllabus corresponding to the evidence for each question in the question paper to form a plurality of sets of concepts; and determining a value for a comprehensiveness metric for the question paper with respect to the syllabus of topics based on the plurality of sets of concepts, wherein the comprehensiveness metric comprises a coverage metric, wherein determining the value for the comprehensiveness metric comprises determining a union of the plurality of sets of concepts and determining a value of the coverage metric for the question paper to be equal to a length of the union of the plurality of sets of concepts divided by a length of the syllabus to form a result.