Information retrieval from turkish radiology reports without medical knowledge

Authors:
Kerem Hadımlı;Meltem Turhan Yöndem
Affiliations:
Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey;Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey
Venue:
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Year:
2011

Citing 4
Cited 0

Two-level description of Turkish morphology

EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Learning morphological disambiguation rules for Turkish

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Dependency parsing of turkish

Computational Linguistics
Labeled pseudo-projective dependency parsing with support vector machines

CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is observed that a person with no medical knowledge can still partially understand contents of Turkish radiology reports. Based on this observation, one rule based method and one data driven method for information retrieval from Turkish radiology reports are proposed. Both methods lack use of medical ontologies and medical lexicons in order to test the limits of the observation in isolation of other factors.