| Summary: | 碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 103 === In this work, we present a question-answering (QA) system for the 5th and 6th grade students to support their learning. Students ask questions and the QA system gives answers to their questions based on a knowledge base created from textbooks. A taxonomy is constructed semi-automatically from multiple choice questions (MCQs) and student questions. It is used to find the probable answer type of a question. Then, we construct an IR system using Solr, an open source IR system, based on textbook knowledge. We use textbook paragraph returned by solr to determine answers.
In the experiments, we examine each component of the question-answering system and analyze the possible errors separately. We consider different approaches and show the pros and cons of each approach.
The experimental results show that our question answering system can handle the questions submitted by children. Our system achieves 0.52 mrr score in textbook question dataset and 0.46 in students’ question dataset.
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