Please use this identifier to cite or link to this item:
|Title:||Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships||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, H. L. (2005). Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships. Proceedings of the 8th International Conference on Asian Digital Libraries ICADL 2005, (December 12-15, Bangkok, Thailand), Lecture Notes in Computer Science 3815, 283-292.||Abstract:||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.||URI:||https://hdl.handle.net/10356/91364
|DOI:||10.1007/11599517_32||Rights:||The original publication is available at www.springerlink.com.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||WKWSCI Conference Papers|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.