Learning to Summarise XML Documents by Combining Content and Structure Features (original) (raw)

2005

Abstract

Abstract Documents formatted in eXtensible Markup Language (XML) are becoming increasingly available in collections of various document types. In this paper, we present an approach for the summarisation of XML documents. The novelty of this approach lies in that it is based on features not only from the content of documents, but also from their logical structure. We follow a sentence extraction-based summarisation method that employs on a novel machine learning approach. To find which feature are more effective for producing ...

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