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A Summarization System for Chinese News from Multiple Sources.
- Source :
-
Journal of the American Society for Information Science and Technology . Nov 2003 54(13):1224-1236. - Publication Year :
- 2003
-
Abstract
- Proposes a summarization system for multiple documents that employs named entities and other signatures to cluster news from different sources, as well as punctuation marks, linking elements, and topic chains to identify the meaningful units (MUs). Using nouns and verbs to identify similar MUs, focusing and browsing models are applied to represent the summarization results. (MES)
Details
- Language :
- English
- Volume :
- 54
- Issue :
- 13
- Database :
- ERIC
- Journal :
- Journal of the American Society for Information Science and Technology
- Publication Type :
- Academic Journal
- Accession number :
- EJ678095
- Document Type :
- Journal Articles<br />Reports - Research