Intended boundaries detection in topic change tracking for text segmentation

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. We compared the two methods by running them on two different corpora of French texts and results are evaluated by two different methods: one using a modified classic measure, the FScore, the other based on a manual evaluation one the Internet. Our results showed that algorithms that are close when automatically evaluated can be quite far when manually evaluated.
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Article dans une revue
International Journal of Speech Technology, Springer Verlag, 2009, 11 (3-4), pp.167-180. 〈http://www.springerlink.com/content/b96r2m5x831108m1/〉. 〈10.1007/s10772-009-9051-7〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00446686
Contributeur : Violaine Prince-Barbier <>
Soumis le : mercredi 13 janvier 2010 - 12:39:14
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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Alexandre Labadié, Violaine Prince. Intended boundaries detection in topic change tracking for text segmentation. International Journal of Speech Technology, Springer Verlag, 2009, 11 (3-4), pp.167-180. 〈http://www.springerlink.com/content/b96r2m5x831108m1/〉. 〈10.1007/s10772-009-9051-7〉. 〈lirmm-00446686〉

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