Automatic Discourse Segmentation: an evaluation in French
Computation and Language
2020-06-15 v2
Abstract
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for documents in French, we have developed three discursive segmentation models solely based on resources simultaneously available in several languages: marker lists and a statistic POS labeling. We have also carried out automatic evaluations of these systems against the Annodis corpus, which is a manually annotated reference. The results obtained are very encouraging.
Cite
@article{arxiv.2002.04095,
title = {Automatic Discourse Segmentation: an evaluation in French},
author = {Rémy Saksik and Alejandro Molina-Villegas and Andréa Carneiro Linhares and Juan-Manuel Torres-Moreno},
journal= {arXiv preprint arXiv:2002.04095},
year = {2020}
}
Comments
7 pages, 2 figures, 2 tables