ASEE: An Automated Question Answering System for World History Exams
نویسندگان
چکیده
This study designed a system called ASEE, which can answer the multiple-choice items provided by the QALab-2 task in NTCIR-12 conference. This system adopts Wikipedia as its knowledge source, using the Stanford Parser to analyze the linguistic features of the items and retrieve key words; it then determines the probability of each option as the correct answer through an algorithm and finally selects the best one. Experimental results shows that the system can correctly answer 21 of 36 questions, which originated from World History B of the National Center Test for University Admissions in Japan in 2011.
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