Organization of Documents for Multiple Document Summarization
Fu Lee Wang, Tak-Lam Wong, Aston Nai Hong Mak
Abstract
Fu Lee Wang, Tak-Lam Wong, Aston Nai Hong Mak
Abstract
Multiple document summarization technique can be utilized for improving the effectiveness of retrieval and accessibility of learning objects in e-learning. Related study has shown that hierarchical summarization is a promising technique which can effectively extract the most important information from the source documents. Hierarchical summarization has been extended to summarization of multiple documents. Three hierarchical structures were proposed to organize a set of related documents. This paper investigates the impact of document structure on hierarchical summarization.
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Multiple document summarization technique can be utilized for improving the effectiveness of retrieval and accessibility of learning objects in e-learning. Related study has shown that hierarchical summarization is a promising technique which can effectively extract the most important information from the source documents. Hierarchical summarization has been extended to summarization of multiple documents. Three hierarchical structures were proposed to organize a set of related documents. This paper investigates the impact of document structure on hierarchical summarization.
Key concepts: Automatic summarization, Multi-document summarization, Computer science, Information retrieval, Set (abstract data type), Source document, Document Structure Description, World Wide Web