Lexical and Semantic Methods in Inner Text Topic Segmentation: A Comparison between C99 and Transeg

  • Alexandre Labadié
  • Violaine Prince
Conference paper

DOI: 10.1007/978-3-540-69858-6_40

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5039)
Cite this paper as:
Labadié A., Prince V. (2008) Lexical and Semantic Methods in Inner Text Topic Segmentation: A Comparison between C99 and Transeg. In: Kapetanios E., Sugumaran V., Spiliopoulou M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg

Abstract

This paper present a semantic and syntactic distance based method in topic text segmentation and compare it to a very well known text segmentation algorithm: c99. To do so we ran the two algorithms on a corpus of twenty two French political discourses and compared their results.

Keywords

Text segmentation topic change c99 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alexandre Labadié
    • 1
  • Violaine Prince
    • 1
  1. 1.LIRMMMontpellier Cedex 5France

Personalised recommendations