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Graph Mining under Linguistic Constraints to Explore Large Texts
Abstract : In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoey's linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoey's linguistic model and a special graph mining technique, called CoHoP mining, to extract coherent sub-parts of the graph representation of the text. We have conducted some experiments on several English texts showing the interest of the proposed approach.
Cited literature [14 references]
https://hal.archives-ouvertes.fr/hal-00817068
Contributor : Solen Quiniou Connect in order to contact the contributor
Submitted on : Tuesday, April 23, 2013 - 4:32:19 PM
Last modification on : Tuesday, May 10, 2022 - 4:00:14 PM
Long-term archiving on: : Thursday, July 25, 2013 - 11:27:12 AM
Contributor : Solen Quiniou Connect in order to contact the contributor
Submitted on : Tuesday, April 23, 2013 - 4:32:19 PM
Last modification on : Tuesday, May 10, 2022 - 4:00:14 PM
Long-term archiving on: : Thursday, July 25, 2013 - 11:27:12 AM
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cicling2013.pdf
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