Título: A knowledge based method for the medical question answering problem
Autores: Muñoz Terol, Rafael
Martínez Barco, Patricio
Palomar Sanz, Manuel
Fecha: 2008-03-06
2008-03-06
2006-03-16
2007-10
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Bioinformatics
Biomedical
Text mining
Medicine
Medinformatics
Question answering framework
Medical question taxonomies
Lenguajes y Sistemas Informáticos
Descripción: In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of this QA system include the simple process of defining the question taxonomy answered by the system as well as the possibility of locally or remotely managed document collections. The main computing methods of the QA system are based on the application of natural language processing (NLP) techniques to infer the logic forms and on the treatment of the logic forms. The knowledge of the system is acquired through the use of two different resources: Unified Medical Language System (UMLS) to handle the medical terminology and WordNet to manage the open-domain terminology.
This work has been partially funded by the Spanish Government funder project CICyT number TIN2006-15265-C06-0 and PROFIT number PI051438, by the European Union under project number FP6-IST-2005-33860 and by the Valencia Government under project number GV06/028.
Idioma: Inglés

Artículos similares:

Choosing the correct paradigm for unknown words in rule-based machine translation systems por Sánchez Cartagena, Víctor Manuel,Esplà Gomis, Miquel,Sánchez Martínez, Felipe,Pérez Ortiz, Juan Antonio
Using external sources of bilingual information for on-the-fly word alignment por Esplà Gomis, Miquel,Sánchez Martínez, Felipe,Forcada Zubizarreta, Mikel L.
10