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Our FRDC_QA team participated in the QA-Lab English subtask of the NTCIR-11.In this paper, we describe our system for solving real-world universityentrance exam questions, which are related to world history. Wikipedia is usedas the main external resource for our system. Since problems with choosingright/wrong sentence from multiple sentence choices account for abouttwo-thirds of the total, we individually design a classification based modelfor solving this type of questions. For other types of questions, we alsodesign some simple methods.

A Feature-based Classification Technique for Answering Multi-choice World History Questions