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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaNatural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings
EditoresFarid Meziane, Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Metais
EditorialSpringer Verlag
Páginas298-302
Número de páginas5
ISBN (versión impresa)9783319919461
DOI
EstadoPublicada - 2018
Publicado de forma externa
Evento23rd International Conference on Natural Language and Information Systems, NLDB 2018 - Paris, Francia
Duración: 13 jun 201815 jun 2018

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10859 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia23rd International Conference on Natural Language and Information Systems, NLDB 2018
País/TerritorioFrancia
CiudadParis
Período13/06/1815/06/18

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