|
Title:
|
Development and evaluation of a multi-document summarization method focusing on research concepts and their research relationships.
|
|
Author:
|
Ou, Shiyan.; Khoo, Christopher Soo Guan.; Goh, Dion Hoe Lian.
|
|
Copyright year:
|
2005 |
|
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. |
|
Subject:
|
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval. |
|
Type:
|
Conference Paper |
|
Conference name:
|
International Conference on Asian Digital Libraries ICADL (8th:2005:Thailand) |
|
School:
|
Wee Kim Wee School of Communication and Information |
|
Rights:
|
The original publication is available at www.springerlink.com. |
|
Version:
|
Accepted version |