A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation

Shiyan Ou; Christopher S.G. Khoo; Dion H. Goh

doi:10.1007/11551362_40

A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation

Shiyan Ou^*, Christopher S.G. Khoo, Dion H. Goh

^*Corresponding author for this work

Nanyang Technological University

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

4 Citations (Scopus)

Abstract

The design, implementation and evaluation of a multi-document summarization system for sociology dissertation abstracts are described. The system focuses on extracting variables and their relationships from different documents, integrating the extracted information, and presenting the integrated information using a variable-based framework. Two important summarization steps - information extraction and information integration were evaluated by comparing system-generated output against human-generated output. Results indicate that the system-generated output achieves good precision and recall while extracting important concepts from each document, as well as good clusters of similar concepts from the set of documents.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	450-461
Number of pages	12
DOIs	https://doi.org/10.1007/11551362_40
Publication status	Published - 2005
Externally published	Yes
Event	9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005 - Vienna, Austria Duration: Sept 18 2005 → Sept 23 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3652 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005
Country/Territory	Austria
City	Vienna
Period	9/18/05 → 9/23/05

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11551362_40

Cite this

Ou, S., Khoo, C. S. G., & Goh, D. H. (2005). A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 450-461). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3652 LNCS). https://doi.org/10.1007/11551362_40

Ou, Shiyan ; Khoo, Christopher S.G. ; Goh, Dion H. / A multi-document summarization system for sociology dissertation abstracts : Design, implementation and evaluation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 450-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The design, implementation and evaluation of a multi-document summarization system for sociology dissertation abstracts are described. The system focuses on extracting variables and their relationships from different documents, integrating the extracted information, and presenting the integrated information using a variable-based framework. Two important summarization steps - information extraction and information integration were evaluated by comparing system-generated output against human-generated output. Results indicate that the system-generated output achieves good precision and recall while extracting important concepts from each document, as well as good clusters of similar concepts from the set of documents.",

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Ou, S, Khoo, CSG & Goh, DH 2005, A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation. in 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. 3652 LNCS, pp. 450-461, 9th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2005, Vienna, Austria, 9/18/05. https://doi.org/10.1007/11551362_40

A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation. / Ou, Shiyan; Khoo, Christopher S.G.; Goh, Dion H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 450-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3652 LNCS).

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

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AB - The design, implementation and evaluation of a multi-document summarization system for sociology dissertation abstracts are described. The system focuses on extracting variables and their relationships from different documents, integrating the extracted information, and presenting the integrated information using a variable-based framework. Two important summarization steps - information extraction and information integration were evaluated by comparing system-generated output against human-generated output. Results indicate that the system-generated output achieves good precision and recall while extracting important concepts from each document, as well as good clusters of similar concepts from the set of documents.

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Ou S, Khoo CSG, Goh DH. A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 450-461. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11551362_40

A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation

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