Multi-source, Multilingual Information Extraction and Summarization

This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

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Field Value
Source https://hal.science/hal-00782234
Author Poibeau, Thierry, Saggion, Horacio, Piskorski, Jakub, Yangarber, Roman
Maintainer CCSD
Last Updated May 14, 2026, 20:29 (UTC)
Created May 14, 2026, 20:29 (UTC)
Identifier ISBN: 978-3-642-28569-1
Language en
contributor Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094 (Lattice) ; Université Sorbonne Nouvelle - Paris 3-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Sciences et Lettres (PSL)-Département Littératures et langage - ENS-PSL (LILA) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)
creator Poibeau, Thierry
date 2012-05-14T00:00:00
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harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-18T00:00:00
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