Concept-based Question Analysis for Accurate Answer Extraction

정확한 해답 추출을 위한 개념 기반의 질의 분석

  • 신승은 (충북대학교 BK2l 충북정보기술사업단) ;
  • 강유환 (충북대학교 전기전자컴퓨터공학부) ;
  • 안영민 (충북대학교 전기전자컴퓨터공학부) ;
  • 박희근 (충북대학교 전기전자컴퓨터공학부) ;
  • 서영훈 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2007.01.28


This paper describes a concept-based question analysis to analyze concept which is more important than keyword for the accurate answer extraction. Our idea is that we can extract correct answers from various paragraphs with different structures when we use well-defined concepts because concepts occurred in questions of same answer type are similar. That is, we will analyze the syntactic and semantic role of each word or phrase in a question in order to extract more relevant documents and more accurate answer in them. For each answer type, we define a concept frame which is composed of concepts commonly occurred in that type of questions and analyze user's question by filling a concept frame with a word or phrase. Empirical results show that our concept-based question analysis can extract more accurate answer than any other conventional approach. Also, concept-based approach has additional merits that it is language universal model, and can be combined with arbitrary conventional approaches.


Question Answering System;Question Analysis;Concept;Answer Extraction


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