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Making Shallow Look Deeper: Anaphora and Comparisons in Medical Information Extraction

Agnieszka Mykowiecka () 1, Malgorzata Marciniak () 1, Anna Kupsc () 12

Proceedings of the 2nd Language and Technology Conference (2005)

Résumé : The paper focuses on resolving natural language issues which have
been affecting performance of our system processing Polish medical data. In
particular, we address phenomena such as ellipsis, anaphora,
comparisons, coordination and negation occurring in mammogram reports.
We propose practical data-driven
solutions which allow us to improve the system's performance.

  • 1 :  Instytut Podstaw Informatyki (IPI PAN)
  • Polish Academy of Sciences
  • 2 :  LANGUE ET DIALOGUE (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • Domaine : Sciences de l'Homme et Société/Linguistique
  • Mots-clés : information extraction – shallow parsing – natural language processing
  • Commentaire : http://www.ipipan.waw.pl/~aniak/papers.html
 
  • halshs-00004866, version 1
  • oai:halshs.archives-ouvertes.fr:halshs-00004866
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  • Soumis le : Lundi 10 Octobre 2005, 10:41:03
  • Dernière modification le : Jeudi 26 Octobre 2006, 13:59:13