Multi-source, Multilingual Information Extraction and Summarization

Thierry Poibeau (1) , Horacio Saggion (2) , Jakub Piskorski (3) , Roman Yangarber (4)

1 Lattice - Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094
2 Computer Science Dpt
3 JRC - European Commission - Joint Research Centre [Ispra]
4 Helsingin yliopisto = Helsingfors universitet = University of Helsinki

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.

Mots clés: Content analysis; Information extraction; Multilinguality; Text mining; Text summarization

Domaines: Traitement du texte et du document; Informatique; Linguistique; Linguistique; Sciences de l'information et de la communication; Apprentissage [cs.LG]; Intelligence artificielle [cs.AI]

Thierry Poibeau, Horacio Saggion, Jakub Piskorski, Roman Yangarber (Dir.). Multi-source, Multilingual Information Extraction and Summarization. Springer, pp.330, 2012, 978-3-642-28569-1. ⟨hal-00782234⟩