| Abstract |
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We present a dynamic summarization method that combines text segmentation and topical and rhetorical text description to rapidly skim through texts. The speed reading is made thanks to presentation to the user of relevant expressions from the text, labelled with topical and argumentative specification. In particular, we describe a method to automatically acquire meta-descriptive lexicon from a scientific corpus without specific knowledge resources requirement.
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Additional Information
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Citation:
Nicolas Hernandez, Brigitte Grau,
"Topic and Meta-Descriptor Extraction for Text Description,"
wi,
p. 221,
2003 IEEE/WIC International Conference on Web Intelligence (WI'03),
2003
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