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Authors: Alexandre Labadié and Violaine Prince

Affiliation: LIRMM, France

Abstract: This paper presents a topical text segmentation method based on intended boundaries detection and compares it to a well known default boundaries detection method, c99. Running the two methods on a corpus of twenty two French political discourse and results showed that intended boundaries detection performs better than default boundaries detection on well structured texts.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Labadié, A. and Prince, V. (2008). Intended Boundaries detection in Topic Change Tracking for Text Segmentation. In Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS; ISBN 978-989-8111-45-6, SciTePress, pages 13-21. DOI: 10.5220/0001728200130021

@conference{nlpcs08,
author={Alexandre Labadié. and Violaine Prince.},
title={Intended Boundaries detection in Topic Change Tracking for Text Segmentation},
booktitle={Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS},
year={2008},
pages={13-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001728200130021},
isbn={978-989-8111-45-6},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2008) - NLPCS
TI - Intended Boundaries detection in Topic Change Tracking for Text Segmentation
SN - 978-989-8111-45-6
AU - Labadié, A.
AU - Prince, V.
PY - 2008
SP - 13
EP - 21
DO - 10.5220/0001728200130021
PB - SciTePress