Lexical and Semantic Methods in Inner Text Topic Segmentation: A Comparison between C99 and Transeg - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Papers Year : 2008

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

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.

Domains

Document and Text Processing
Fichier principal
Vignette du fichier
nldb08.pdf (174.79 Ko) Télécharger le fichier
nldb08court.pdf (89.83 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Origin Files produced by the author(s)

Alexandre Labadié  : Connect in order to contact the contributor

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00336162

Submitted on : Monday, November 3, 2008-9:04:06 AM

Last modification on : Friday, March 24, 2023-2:52:51 PM

Long-term archiving on : Monday, June 7, 2010-10:37:02 PM

Download

Dates and versions

lirmm-00336162 , version 1 (03-11-2008)

Identifiers

Cite

Alexandre Labadié, Violaine Prince. Lexical and Semantic Methods in Inner Text Topic Segmentation: A Comparison between C99 and Transeg. NLDB: Natural Language Processing and Information Systems, Jun 2008, London, United Kingdom. pp.347-349, ⟨10.1007/978-3-540-69858-6_40⟩. ⟨lirmm-00336162⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS TEXTE LIRMM MIPS UNIV-MONTPELLIER
165 View
550 Download

Altmetric

Share

More