A hierarchical framework for multi-document summarization of dissertation abstracts

Christopher S.G. Khoo; Shiyan Ou; Dion Hoe Lian Goh

A hierarchical framework for multi-document summarization of dissertation abstracts

Christopher S.G. Khoo, Shiyan Ou, Dion Hoe Lian Goh

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

This paper reports initial work on developing methods for automatic generation of multi-document summaries of dissertation abstracts in a digital library. The focus is on automatically generating a summary of a set of dissertation abstracts retrieved in response to user query, and presenting the summary using a visualization method. A hierarchical variable-based framework for multi-document summarization of dissertation abstracts in sociology and psychology is presented. The framework makes use of macro-level and micro-level discourse structure of dissertation abstracts as well as cross-document structure. The micro-level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described in the paper. A demonstration prototype with a tree-view interface for presenting multi-document abstracts has been implemented.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Ee-Peng Lim, Schubert Foo, Chris Khoo, Edward Fox, Thanos Costantino, Hsinchun Chen, Shalini Urs
Publisher	Springer Verlag
Pages	99-110
Number of pages	12
ISBN (Print)	3540002618, 9783540002611
Publication status	Published - 2002
Externally published	Yes
Event	5th International Conference on Asian Digital Libraries, ICADL 2002 - Singapore, Singapore Duration: Dec 11 2002 → Dec 14 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2555
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Asian Digital Libraries, ICADL 2002
Country/Territory	Singapore
City	Singapore
Period	12/11/02 → 12/14/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Cite this

Khoo, C. S. G., Ou, S., & Goh, D. H. L. (2002). A hierarchical framework for multi-document summarization of dissertation abstracts. In E.-P. Lim, S. Foo, C. Khoo, E. Fox, T. Costantino, H. Chen, & S. Urs (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 99-110). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2555). Springer Verlag.

Khoo, Christopher S.G. ; Ou, Shiyan ; Goh, Dion Hoe Lian. / A hierarchical framework for multi-document summarization of dissertation abstracts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Ee-Peng Lim ; Schubert Foo ; Chris Khoo ; Edward Fox ; Thanos Costantino ; Hsinchun Chen ; Shalini Urs. Springer Verlag, 2002. pp. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Khoo, CSG, Ou, S & Goh, DHL 2002, A hierarchical framework for multi-document summarization of dissertation abstracts. in E-P Lim, S Foo, C Khoo, E Fox, T Costantino, H Chen & S Urs (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2555, Springer Verlag, pp. 99-110, 5th International Conference on Asian Digital Libraries, ICADL 2002, Singapore, Singapore, 12/11/02.

A hierarchical framework for multi-document summarization of dissertation abstracts. / Khoo, Christopher S.G.; Ou, Shiyan; Goh, Dion Hoe Lian.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Ee-Peng Lim; Schubert Foo; Chris Khoo; Edward Fox; Thanos Costantino; Hsinchun Chen; Shalini Urs. Springer Verlag, 2002. p. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2555).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper reports initial work on developing methods for automatic generation of multi-document summaries of dissertation abstracts in a digital library. The focus is on automatically generating a summary of a set of dissertation abstracts retrieved in response to user query, and presenting the summary using a visualization method. A hierarchical variable-based framework for multi-document summarization of dissertation abstracts in sociology and psychology is presented. The framework makes use of macro-level and micro-level discourse structure of dissertation abstracts as well as cross-document structure. The micro-level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described in the paper. A demonstration prototype with a tree-view interface for presenting multi-document abstracts has been implemented.

AB - This paper reports initial work on developing methods for automatic generation of multi-document summaries of dissertation abstracts in a digital library. The focus is on automatically generating a summary of a set of dissertation abstracts retrieved in response to user query, and presenting the summary using a visualization method. A hierarchical variable-based framework for multi-document summarization of dissertation abstracts in sociology and psychology is presented. The framework makes use of macro-level and micro-level discourse structure of dissertation abstracts as well as cross-document structure. The micro-level structure of problem statements found in a sample of 50 dissertation abstracts was analyzed, and the common features found are described in the paper. A demonstration prototype with a tree-view interface for presenting multi-document abstracts has been implemented.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Fox, Edward

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Khoo CSG, Ou S, Goh DHL. A hierarchical framework for multi-document summarization of dissertation abstracts. In Lim EP, Foo S, Khoo C, Fox E, Costantino T, Chen H, Urs S, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2002. p. 99-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

A hierarchical framework for multi-document summarization of dissertation abstracts

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Publication series

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Bibliographical note

ASJC Scopus Subject Areas

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Cite this