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Vol.23 No.2
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Query Reconstruction for Searching QA Documents by Utilizing Structural Components

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2006, v.23 no.2, pp.229-243
https://doi.org/10.3743/KOSIM.2006.23.2.229


& (2006). Query Reconstruction for Searching QA Documents by Utilizing Structural Components. Journal of the Korean Society for Information Management, 23(2), 229-243, https://doi.org/10.3743/KOSIM.2006.23.2.229
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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.

keywords
Query-Answer Documents, Query Reconstruction, Query Clustering, Query Performance, Clustering, Passage Retrieval질의응답문서, 질의재생성, 질의클러스터링, 클러스터링, 단락검색, Query-Answer Documents, Query Reconstruction, Query Clustering, Query Performance, Clustering, Passage Retrieval질의응답문서, 질의재생성, 질의클러스터링, 클러스터링, 단락검색, 질의응답문서, 질의재생성, 질의클러스터링, 클러스터링, 단락검색

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