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Conference Papers Year : 2008

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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Dates and versions

lirmm-00336160 , version 1 (03-11-2008)

Identifiers

  • HAL Id : lirmm-00336160 , version 1

Cite

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⟩
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