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Title: A multi-document summarization system for sociology dissertation abstracts : design, implementation and evaluation
Authors: Ou, Shiyan
Goh, Dion Hoe-Lian
Khoo, Christopher S. G.
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2005
Source: Ou, S., Khoo, C. S. G., & Goh, D.(2005). A multi-document summarization system for sociology dissertation abstracts : design, implementation and evaluation. Lecture notes in computer science, 450-461.
Series/Report no.: Lecture notes in computer science
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.
ISSN: 0302-9743
DOI: 10.1007/11551362_40
Rights: © 2005 Springer-Verlag Berlin Heidelberg. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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