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Published in:
2005 | OriginalPaper | Chapter
Development and Evaluation of a Multi-document Summarization Method Focusing on Research Concepts and Their Research Relationships
Authors : Shiyan Ou, Christopher S. G. Khoo, Dion H. Goh
Published in: Digital Libraries: Implementing Strategies and Sharing Experiences
Publisher: Springer Berlin Heidelberg
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This paper reports the design and evaluation of a method for summarizing a set of related research abstracts. This summarization method extracts research concepts and their research relationships from different abstracts, integrates the extracted information across abstracts, and presents the integrated information in a Web-based interface to generate a multi-document summary. This study focused on sociology dissertation abstracts, but can be extended to other research abstracts. The summarization method was evaluated in a user study to assess the quality and usefulness of the generated summaries in comparison to a sentence extraction method used in MEAD and a method that extracts only research objective sentences. The evaluation results indicated that the majority of sociology researchers preferred our variable-based summary generated with the use of a taxonomy.