Chapter

Natural Language and Information Systems

Volume 5039 of the series Lecture Notes in Computer Science pp 347-349

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

  • Alexandre LabadiéAffiliated withLIRMM
  • , Violaine PrinceAffiliated withLIRMM

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