Viviana Cotik

Automatic detection of negated findings with nooj: First results

2018, Natural Language Processing and Information Systems: 23rd International …, 2018
Citas: 2
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Autor(es)

Walter Koza and Mirian Muñoz and Natalia Rivas and Ninoska Godoy and Darío Filippo and Viviana Cotik and Vanesa Stricker and Ricardo Martínez

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.

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