본문 바로가기
  • Home
Basic Search

Query Reconstruction for Searching QA Documents by Utilizing Structural Components

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2006, 23(2), pp.229~243
  • DOI : 10.3743/KOSIM.2006.23.2.229
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 22, 2006
  • Accepted : June 23, 2006
  • Published : June 30, 2006

Sanghee Choi 1,  Seo, Eun-Gyoung 2

1대구가톨릭대학교
2한성대학교

Accredited

ABSTRACT

This study aims to suggest an effective way to enhance question-answer(QA) document retrieval performance by reconstructing queries based on the structural features in the QA documents. QA documents are a structured document which consists of three components: question from a questioner, short description on the question, answers chosen by the questioner. The study proposes the methods to reconstruct a new query using by two major structural parts, question and answer, and examines which component of a QA document could contribute to improve query performance. The major finding in this study is that to use answer document set is the most effective for reconstructing a new query. That is, queries reconstructed based on terms appeared on the answer document set provide the most relevant search results with reducing redundancy of retrieved documents.

Statistics

  • 134 Viewed
  • 62 Downloaded

Tools

Issue List

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.
Basic Search Advanced Search