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

doi:10.1007/978-3-319-91947-8_30

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

INSTITUTE OF LITERATURE AND LANGUAGE SCIENCES

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings
Editors	Farid Meziane, Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Metais
Publisher	Springer Verlag
Pages	298-302
Number of pages	5
ISBN (Print)	9783319919461
DOIs	https://doi.org/10.1007/978-3-319-91947-8_30
State	Published - 2018
Event	23rd International Conference on Natural Language and Information Systems, NLDB 2018 - Paris, France Duration: 13 Jun 2018 → 15 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10859 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Natural Language and Information Systems, NLDB 2018
Country/Territory	France
City	Paris
Period	13/06/18 → 15/06/18

Keywords

Negated finding
NooJ
Syntactic rules

Access to Document

10.1007/978-3-319-91947-8_30

Cite this

Koza, W., Muñoz, M., Rivas, N., Godoy, N., Filippo, D., Cotik, V., Stricker, V., & Martínez, R. (2018). Automatic detection of negated findings with nooj: First results. In F. Meziane, M. Silberztein, F. Atigui, E. Kornyshova, & E. Metais (Eds.), Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings (pp. 298-302). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10859 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-91947-8_30

Koza, Walter ; Muñoz, Mirian ; Rivas, Natalia et al. / Automatic detection of negated findings with nooj : First results. Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings. editor / Farid Meziane ; Max Silberztein ; Faten Atigui ; Elena Kornyshova ; Elisabeth Metais. Springer Verlag, 2018. pp. 298-302 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Automatic detection of negated findings with nooj: First results",

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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author = "Walter Koza and Mirian Mu{\~n}oz and Natalia Rivas and Ninoska Godoy and Dar{\'i}o Filippo and Viviana Cotik and Vanesa Stricker and Ricardo Mart{\'i}nez",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 23rd International Conference on Natural Language and Information Systems, NLDB 2018 ; Conference date: 13-06-2018 Through 15-06-2018",

year = "2018",

doi = "10.1007/978-3-319-91947-8_30",

language = "English",

isbn = "9783319919461",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "298--302",

editor = "Farid Meziane and Max Silberztein and Faten Atigui and Elena Kornyshova and Elisabeth Metais",

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Koza, W, Muñoz, M, Rivas, N, Godoy, N, Filippo, D, Cotik, V, Stricker, V & Martínez, R 2018, Automatic detection of negated findings with nooj: First results. in F Meziane, M Silberztein, F Atigui, E Kornyshova & E Metais (eds), Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10859 LNCS, Springer Verlag, pp. 298-302, 23rd International Conference on Natural Language and Information Systems, NLDB 2018, Paris, France, 13/06/18. https://doi.org/10.1007/978-3-319-91947-8_30

Automatic detection of negated findings with nooj: First results. / Koza, Walter; Muñoz, Mirian; Rivas, Natalia et al.
Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings. ed. / Farid Meziane; Max Silberztein; Faten Atigui; Elena Kornyshova; Elisabeth Metais. Springer Verlag, 2018. p. 298-302 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10859 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic detection of negated findings with nooj

T2 - 23rd International Conference on Natural Language and Information Systems, NLDB 2018

AU - Koza, Walter

AU - Muñoz, Mirian

AU - Rivas, Natalia

AU - Godoy, Ninoska

AU - Filippo, Darío

AU - Cotik, Viviana

AU - Stricker, Vanesa

AU - Martínez, Ricardo

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Negated finding

KW - NooJ

KW - Syntactic rules

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DO - 10.1007/978-3-319-91947-8_30

M3 - Conference contribution

AN - SCOPUS:85048060746

SN - 9783319919461

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 298

EP - 302

BT - Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings

A2 - Meziane, Farid

A2 - Silberztein, Max

A2 - Atigui, Faten

A2 - Kornyshova, Elena

A2 - Metais, Elisabeth

PB - Springer Verlag

Y2 - 13 June 2018 through 15 June 2018

ER -

Koza W, Muñoz M, Rivas N, Godoy N, Filippo D, Cotik V et al. Automatic detection of negated findings with nooj: First results. In Meziane F, Silberztein M, Atigui F, Kornyshova E, Metais E, editors, Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Proceedings. Springer Verlag. 2018. p. 298-302. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-91947-8_30

Automatic detection of negated findings with nooj: First results

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Keywords

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