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Intended Boundaries Detection in Topic Change Tracking for Text Segmentation

Abstract : This paper propose a topical text segmentation method based on intended boundaries detection and compare it to a well known default boundaries detection method, c99. We ran the two methods on a corpus of twenty two French political discourses and results showed us that intended boundaries detection is better than default boundaries detection on well structured text.
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Contributor : Alexandre Labadié Connect in order to contact the contributor
Submitted on : Monday, November 3, 2008 - 8:58:20 AM
Last modification on : Friday, August 5, 2022 - 3:03:22 PM
Long-term archiving on: : Monday, June 7, 2010 - 10:36:54 PM


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  • HAL Id : lirmm-00336160, version 1



Alexandre Labadié, Violaine Prince. Intended Boundaries Detection in Topic Change Tracking for Text Segmentation. NLPCS'08: 5th International Workshop on Natural Language Processing and Cognitive Science, Jun 2008, pp.13-21. ⟨lirmm-00336160⟩