KitAi-QA: A Question Answering System for NTCIR-12 QALab-2

This paper describes a question answering system for NTCIR12 QALab-2. The task that we participated in is the Japanese task about National Center Test and Mock exams. Our method consists of two stages; a scoring method and answer selection methods for four question types. The scoring is to detect the evidence for the next process, namely answer selection, from textbooks. We also focus on conflict detection and event detection for the answer selection of the Trueor-False type question. For other questions, Factoid, Slotfilling and Unique Time, our method judges or extracts the answer from the passage retrieved by the scoring method. The accuracy of our method on the formal run was moderate. However, the result of our method sometimes boosted up other system results on the combination run. The result shows the effectiveness of our method.