Multi-document summarization for e-learning

Authors:
Fu Lee Wang;Reggie Kwan;Sheung Lun Hung
Affiliations:
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;Caritas Francis Hsu College, Hong Kong;Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
Venue:
ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
Year:
2009

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Abstract

As a large amount of learning materials available in e-learning, automatic summarization has been utilized in digital library for e-learning. Multi-document summarization extracts information from multiple texts documents. It improves the effectiveness of retrieval and accessibility of learning materials in e-learning. Related study has shown that hierarchical summarization is a promising technique. Hierarchical summarization has been extended to summarization of multiple documents. This paper investigates the impact of organization of documents on hierarchical summarization. Automatic document clustering technique is developed for organization of learning materials. A multi-document hierarchical summarization system is developed based on these techniques. The system provides an essential tool for e-learning.