Conference proceeding
Multi-document summarization based on concept space
ITRE2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: RESEARCH AND EDUCATION, pp 385-389
01 Jan 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Capturing relevant information is important in supporting decision making. In this paper, we propose a new summarization method based on cluster analysis, concept space, and statistical approach to extract the essence from a collection of documents. A prototype system has been developed to condense a set of documents into a list of key issues and expands the key issues to form a summary. Cluster analysis and concept space was used as a bridge to connect convergent and divergent processes. Such approach reduces information loss due to vocabulary switching in the summarization process. In the divergent process, it selects the anchored sentences from the original documents to form a summary based on the concept terms generated previously. A user evaluation has been conducted for its usefulness and other performance indices. The results indicate that such approach is promising.
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Details
- Title
- Multi-document summarization based on concept space
- Creators
- STK TangJ Yen - Chinese University of Hong KongC C Yang - Chinese University of Hong Kong
- Contributors
- N Ansari (Editor)F Deek (Editor)C Y Lin (Editor)H Yu (Editor)
- Publication Details
- ITRE2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: RESEARCH AND EDUCATION, pp 385-389
- Publisher
- IEEE
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000189045900083
- Scopus ID
- 2-s2.0-84893952489
- Other Identifier
- 991021855184904721
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- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Electrical & Electronic
- Telecommunications