단어 의미 정보를 활용하는 이용자 자연어 질의 유형의 효율적 분류

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For question-answering system, question analysis module finds the question points from user`s natural language questions, classifies the question types, and extracts some useful information for answer. This paper proposes a question type classifying technique based on focus words extracted from questions and word semantic information, instead of complicated rules or huge knowledge resources. It also shows how to find the question type without focus words, and how useful the synonym or postfix information to enhance the performance of classifying module.