Une mesure de pertinence pour le tri de l'information dans un index de fin de livre

This paper presents the IndDoc system that assists back-of-the-book indexing. One of the indexing challenge deals with information selection: which are the most relevant headings and references. This papers shows how this selection is handled in IndDoc. It presents a metric for the ranking of headings and , for each heading, for its references.

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Additional Info

Field Value
Source Actes de la onzième conférence annuelle sur le Traitement Automatique du Langage Naturel (TALN'04)
Author Nazarenko, Adeline, Aït El Mekki, Touria
Maintainer CCSD
Last Updated May 5, 2026, 14:09 (UTC)
Created May 5, 2026, 14:09 (UTC)
Identifier hal-00098057
Language fr
contributor Laboratoire d'Informatique de Paris-Nord (LIPN) ; Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS)
creator Nazarenko, Adeline
date 2004-05-05T00:00:00
harvest_object_id 6d64571e-2b26-4128-8363-0df72bfb55f6
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-11-29T00:00:00
set_spec type:COMM