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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings
EditorsFarid Meziane, Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Metais
PublisherSpringer Verlag
Number of pages5
ISBN (Print)9783319919461
StatePublished - 2018
Event23rd International Conference on Natural Language and Information Systems, NLDB 2018 - Paris, France
Duration: 13 Jun 201815 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10859 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference23rd International Conference on Natural Language and Information Systems, NLDB 2018


  • Negated finding
  • NooJ
  • Syntactic rules


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