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Text Corpus-based Question Answering System  

Kim, Han-Joon (서울시립대학교 전자전기컴퓨터공학부)
Kim, Min-Kyoung (아시아투데이 인터넷부)
Chang, Jae-Young (한성대학교 컴퓨터공학과)
Publication Information
Journal of Digital Contents Society / v.11, no.3, 2010 , pp. 375-383 More about this Journal
Abstract
In developing question-answering (QA) systems, it is hard to analyze natural language questions syntactically and semantically and to find exact answers to given query questions. In order to avoid these difficulties, we propose a new style of question-answering system that automatically generate natural language queries and can allow to search queries fit for given keywords. The key idea behind generating natural queries is that after significant sentences within text documents are applied to the named entity recognition technique, we can generate a natural query (interrogative sentence) for each named entity (such as person, location, and time). The natural query is divided into two types: simple type and sentence structure type. With the large database of question-answer pairs, the system can easily obtain natural queries and their corresponding answers for given keywords. The most important issue is how to generate meaningful queries which can present unambiguous answers. To this end, we propose two principles to decide which declarative sentences can be the sources of natural queries and a pattern-based method for generating meaningful queries from the selected sentences.
Keywords
information retrieval; question answering systems; text corpus;
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