2020/02/10 by Rémy Saksik, Alejandro Molina-Villegas, Saksik, Rémy +6
Computer Science · #Artificial intelligence #Computation and Language (cs.CL) #Computer science #FOS: Computer and information sciences #Linguistics #Natural Language Processing Techniques #Natural language processing #Philosophy #Segmentation #Speech and dialogue systems #Topic Modeling #cs.CL
paper · pdf · doi:10.48550/arxiv.2002.04095
7 pages, 2 figures, 2 tables
openalex publication_date 2020/02/10 · arxiv created 2020/06/11 · arxiv updated 2020/06/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.