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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

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)

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

참고문헌

1.

김정하. (2001). 이용자 중심 요약문 생성에 관한 실험적 연구.

2.

장동현. (2002). 문장 클러스터링을 통한 텍스트 자동요약에 관한 연구.

3.

정영미. (2001). 문장 클러스터링에 기반한 자동요약 모형. 정보관리학회지, 18(3), 159-177.

4.

정영미. (1993). 정보검색론:서울: 구미무역.

5.

Barizilay, Regina. (2002). Inferring Strategies for Sentence Ordering in Multidocument News Summa- rization. Journal of Artificial Intel- ligence Research, (17), 35-55.

6.

Barizilay, Regina. (2003). Information Fusion for Multidocument Summarization. Parephrasing and Generation, , -.

7.

Callan, J. P. (1994). Passage-level Evi- dence in Documentation Retrieval (302-309). Proceedings of the 17th Annual International ACM-SiGIR Con- ference on Research and Deve- lopment in Information Retrieval.

8.

Clark, C. L. A., Cormack, G. V., Kisman, D. I. E and Lynam. T. R. (2001). Question Answering by Passage Selection. http://citeseer.ist.psu.edu/454871.html.

9.

Kaszkiel, M. (2001). Effective Ranking with Arbitrary Passages. Journal of the Ame- rican Society for Information Science and Technology, 52(4), 344-364.

10.

McKeown, K. (1999). Generating summaries of multiple news articles. Advances in Automatic Text Summarization, , -.

11.

Radeve, D. R. (2000). Centroid-based Summarization of Multiple Docu- ments: Sentence Extraction, Utility- based Evaluation and User Stu- dies (21-29). PANLP/NAACL 2000 Workshop.

12.

Radeve, D. R., Jing, Hongyan, Stys, Malgorzata and Tam, Daniel. (2003). Centroid-based Summarization of Multiple Documents. http://cs-tr.cs.cornell.edu/Dienst/UI/2.0/Describe/ncstrl.cornell/TR94-1438.

13.

Sparck Jones, Karen. (1972). A Statistical Interpretation of Term Specificity and Its Application in Retrieval. Journal of Documentation, 28(1), 11-20.

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