Paper: Using Collocations For Topic Segmentation And Link Detection

ACL ID C02-1033
Title Using Collocations For Topic Segmentation And Link Detection
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors
  • Olivier Ferret (Atomic Energy Commission, Fontenay-aux-Roses France)

We present in this paper a method for achiev- ing in an integrated way two tasks of topic analysis: segmentation and link detection. This method combines word repetition and the lexi- cal cohesion stated by a collocation network to compensate for the respective weaknesses of the two approaches. We report an evaluation of our method for segmentation on two cor- pora, one in French and one in English, and we propose an evaluation measure that spe- cifically suits that kind of systems.