IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2

In this paper, we describe the IMTKU (Information Management at Tamkang University) question answering system for Japanese university entrance exams at NTCIR-12 QA Lab-2. We proposed a question answering system that integrates natural language processing and machine learning techniques for Japanese university entrance exams at NTCIR-12 QA Lab-2. In phase-1, we submitted 6 End-to-End QA runs results for only English subtask for National Center Test for University Admissions and Secondary exams subtask. In phase-3, we submitted 7 End-toEnd QA run results for English and Japanese subtask for Nation Center Exams and Secondary exams subtask. In NTCIR-12 QA Lab-2 phase-1, the IMTKU team total score achieved 31, 27 and 0 in the English subtask. In NTCIR-12 QA Lab-2 phase-3, the IMTKU team total score achieved 20, 20 and 14 in the English subtask, 24, 12 and 8 in the Japanese subtask and 31 in a combination run with KitAi. Categories and Subject Descriptions H.3.4 [INFORMATION STORAGE AND RETRIEVAL]: Systems and Software Performance evaluation (efficiency and effectiveness), Question-answering (fact retrieval) systems.