-
Hartley, J.: Do structured abstracts take more space? : And does it matter? (2002)
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- Source
- Journal of information science. 28(2002) no.5, S.417-422
- Year
- 2002
-
Wan, X.; Yang, J.; Xiao, J.: Incorporating cross-document relationships between sentences for single document summarizations (2006)
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- Abstract
- Graph-based ranking algorithms have recently been proposed for single document summarizations and such algorithms evaluate the importance of a sentence by making use of the relationships between sentences in the document in a recursive way. In this paper, we investigate using other related or relevant documents to improve summarization of one single document based on the graph-based ranking algorithm. In addition to the within-document relationships between sentences in the specified document, the cross-document relationships between sentences in different documents are also taken into account in the proposed approach. We evaluate the performance of the proposed approach on DUC 2002 data with the ROUGE metric and results demonstrate that the cross-document relationships between sentences in different but related documents can significantly improve the performance of single document summarization.
- Source
- Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
-
Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995)
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- Date
- 27. 1.1996 18:22:06
-
Endres-Niggemeyer, B.; Ziegert, C.: SummIt-BMT : (Summarize It in BMT) in Diagnose und Therapie, Abschlussbericht (2002)
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- Year
- 2002
-
Palais, E.S.: Abstracting for reference librarians (1988)
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- Source
- Reference librarian. 1988, no.22, S.297-308
-
Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996)
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- Source
- Journal of information science. 22(1996) no.1, S.27-37
-
Ward, M.L.: ¬The future of the human indexer (1996)
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- Date
- 9. 2.1997 18:44:22
-
Ou, S.; Khoo, C.; Goh, D.H.; Heng, H.-Y.: Automatic discourse parsing of sociology dissertation abstracts as sentence categorization (2004)
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- Content
- 1. Introduction This paper reports our initial effort to develop an automatic method for parsing the discourse structure of sociology dissertation abstracts. This study is part of a broader study to develop a method for multi-document summarization. Accurate discourse parsing will make it easier to perform automatic multi-document summarization of dissertation abstracts. In a previous study, we determined that the macro-level structure of dissertation abstracts typically has five sections (Khoo et al., 2002). In this study, we treated discourse parsing as a text categorization problem - assigning each sentence in a dissertation abstract to one of the five predefined sections or categories. Decision tree induction, a machine-learning method, was applied to word tokens found in the abstracts to construct a decision tree model for the categorization purpose. Decision tree induction was selected primarily because decision tree models are easy to interpret and can be converted to rules that can be incorporated in other computer programs. A well-known decision-tree induction program, C5.0 (Quinlan, 1993), was used in this study.
-
Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996)
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- Source
- Journal of information science. 22(1996) no.5, S.349-356
