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질의응답을 위한 복수문서 요약에 관한 실험적 연구

An Experimental Study on Multi-Document Summarization for Question Answering

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.3, pp.289-303
https://doi.org/10.3743/KOSIM.2004.21.3.289
최상희 (대구가톨릭대학교)
정영미 (연세대학교)
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초록

This experimental study proposes a multi-document summarization method that produces optimal summaries in which users can find answers to their queries. In order to identify the most effective method for this purpose, the performance of the three summarization methods were compared. The investigated methods are sentence clustering, passage extraction through spreading activation, and clustering-passage extraction hybrid methods. The effectiveness of each summarizing method was evaluated by two criteria used to measure the accuracy and the redundancy of a summary. The passage extraction method using the sequential bnb search algorithm proved to be most effective in summarizing multiple documents with regard to summarization precision. This study proposes the passage extraction method as the optimal multi-document summarization method. 攀*** 본 연구는 연세대학교 대학원 박사학위논문의 일부를 요약한 것임.*** 연세대학교 문헌정보학과 시간강사(shchoi@lis.yonsei.ac.kr)****연세대학교 문헌정보학과 교수(ymchung@yonsei.ac.kr) 논문접수일자 : 2004년 8월 27일 게재확정일자 : 2004년 9월 13일攀攀

keywords
multi-document summarization, summarization method, sentence clustering, passage extraction, question answering, 복수문서 요약, 요약 기법, 문장 클러스터링, 단락확장, 질의응답

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