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

Authors:
Alexandre Labadié;Violaine Prince
Affiliations:
LIRMM, Montpellier Cedex 5, France 34392;LIRMM, Montpellier Cedex 5, France 34392
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

Citing 2
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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.