Event-based Information Extraction for the biomedical domain: the Caderige project
<|reference_start|>Event-based Information Extraction for the biomedical domain: the Caderige project: 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 high-level 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.<|reference_end|>
@article{alphonse2006event-based,
    title={Event-based Information Extraction for the biomedical domain: the
  Caderige project},
    author={Erick Alphonse (MIG), Sophie Aubin (LIPN), Philippe Bessi`eres (MIG),
  Gilles Bisson (Leibniz - IMAG), Thierry Hamon (LIPN), Sandrine Lagarrigue
  (INRA-ENSAR), Adeline Nazarenko (LIPN), Alain-Pierre Manine (MIG), Claire
  N'edellec (MIG), Mohamed Ould Abdel Vetah (MIG), Thierry Poibeau (LIPN),
  Davy Weissenbacher (LIPN)},
    journal={Proceedings of the International Joint Workshop on Natural
  Language Processing in Biomedicine and Its Applications (COLING'04), Suisse
  (2004) 43-39},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0609135},
    primaryClass={cs.AI cs.IR}
}