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Automatic Detection of Negated Findings with NooJ: First Results

  • Walter Koza
  • Mirian Muñoz
  • Natalia Rivas
  • Ninoska Godoy
  • Darío Filippo
  • Viviana Cotik
  • Vanesa Stricker
  • Ricardo Martínez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10859)

Abstract

The objective of this study is to develop a methodology for the automatic detection of negated findings in radiological reports which takes into account semantic and syntactic descriptions, as well as morphological and syntactic analysis rules. In order to achieve this goal, a series of rules for processing lexical and syntactic information was elaborated. This required development of an electronic dictionary of medical terminology and computerized grammar. Computational framework was carried out with NooJ, a free software developed by Silberztein, which has various utilities for treating natural language. Results show that the detection of negated findings improves if lexical-grammatical information is added.

Keywords

Negated finding Syntactic rules NooJ 

References

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    Silberztein, M.: Formalizing Natural Languages: The NooJ approach. ISTE, Londres (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Walter Koza
    • 1
  • Mirian Muñoz
    • 1
  • Natalia Rivas
    • 1
  • Ninoska Godoy
    • 1
  • Darío Filippo
    • 2
  • Viviana Cotik
    • 3
  • Vanesa Stricker
    • 3
  • Ricardo Martínez
    • 4
  1. 1.Proyecto FONDECyT 1171033Pontificia Universidad Católica de ValparaísoViña del MarChile
  2. 2.Hospital Pediátrico GarrahanBuenos AiresArgentina
  3. 3.Departamento de Computación, FCEN, Pabellón ICiudad UniversitariaBuenos AiresArgentina
  4. 4.Universidad Diego PortalesSantiagoChile

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