التفاصيل البيبلوغرافية
| العنوان: |
Automatic detection of negated findings with nooj: First results |
| المؤلفون: |
Koza, W., Muñoz, M., Rivas, N., Godoy, N., Filippo, D., Cotik, V., Stricker, V., Martínez, R., Meziane F., Silberztein M., Atigui F., Kornyshova E., Metais E. |
| المجموعة: |
Biblioteca Digital FCEN-UBA (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires) |
| مصطلحات موضوعية: |
Negated finding, NooJ, Syntactic rules, Information systems, Information use, Semantics, Syntactics, Terminology, Computational framework, Electronic dictionaries, Grammatical information, Medical terminologies, Syntactic information, Natural language processing systems |
| الوصف: |
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. © 2018, Springer International Publishing AG, part of Springer Nature. |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
unknown |
| Relation: |
http://hdl.handle.net/20.500.12110/paper_03029743_v10859LNCS_n_p298_Koza |
| الاتاحة: |
https://hdl.handle.net/20.500.12110/paper_03029743_v10859LNCS_n_p298_Koza |
| Rights: |
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/2.5/ar |
| رقم الانضمام: |
edsbas.38817EFC |
| قاعدة البيانات: |
BASE |