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Intended Boundaries Detection in Topic Change Tracking for Text Segmentation
Acte de colloque   Open Access

Intended Boundaries Detection in Topic Change Tracking for Text Segmentation

Alexandre Labadié et Violaine Prince
NLPCS'08: 5th International Workshop on Natural Language Processing and Cognitive Science, pp.13-21
NLPCS'08: 5th International Workshop on Natural Language Processing and Cognitive Science (12/06/2008–13/06/2008)
12/06/2008

Résumé

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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