Event-based information extraction for the biomedical domain: the Caderige project

Authors:
Erick Alphonse;Sophie Aubin;Philippe Bessières;Gilles Bisson;Thierry Hamon;Sandrine Lagarrigue;Adeline Nazarenko;Alain-Pierre Manine;Claire Nédellec;Mohamed Ould Abdel Vetah;Thierry Poibeau;Davy Weissenbacher
Affiliations:
Laboratoire Mathématique, Informatique et Génome (MIG), INRA, F-Jouy-en-Josas;Laboratoire d'Informatique de Paris-Nord, F-Villetaneuse;Laboratoire Mathématique, Informatique et Génome (MIG), INRA, F-Jouy-en-Josas;Laboratoire Leibniz -- UMR CNRS, Félix Viallet, F-Grenoble Cedex;Laboratoire d'Informatique de Paris-Nord, F-Villetaneuse;Laboratoire de Génétique Animale, Rennes Cedex;Laboratoire d'Informatique de Paris-Nord, F-Villetaneuse;Laboratoire Mathématique, Informatique et Génome (MIG), INRA, F-Jouy-en-Josas;Laboratoire Mathématique, Informatique et Génome (MIG), INRA, F-Jouy-en-Josas;Laboratoire Mathématique, Informatique et Génome (MIG), INRA, F-Jouy-en-Josas;Laboratoire d'Informatique de Paris-Nord, F-Villetaneuse;Laboratoire d'Informatique de Paris-Nord, F-Villetaneuse
Venue:
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Year:
2004

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Abstract

This paper gives an overview of the Caderige project. This project involves teams from different areas (biology, machine learning, natural language processing) in order to develop highlevel analysis tools for extracting structured information from biological bibliographical databases, especially Medline. The paper gives an overview of the approach and compares it to the state of the art.