Objective We explored how judgements provided by physicians can be used to learn
relevance models that enhance the quality of patient cohorts retrieved from Electronic Health …

The thesis proposed here intends to assist Natural Language Processing tasks through the
negation and speculation detection. We are focusing on the biomedical and review domain …

Disease and symptom in medical records tend to appear in different content types: positive,
negative, family history and the others. Traditional information retrieval systems depending …

La detección de la negación y la especulación ha sido un área de investigación activa en
los últimos años en la comunidad de Procesamiento del Lenguaje Natural, incluyendo …

La recherche d'information nécessite la mise en place de stratégies qui consistent à (1)
cerner le besoin d'information;(2) formuler le besoin d'information;(3) repérer les sources …

Medical literature, such as medical health records are increasingly digitised. As with any
large growth of digital data, methods must be developed to managedata as well as to extract …

This paper describes the participation of LABERINTO team at the ShARe/CLEF eHealth
Evaluation Lab 2014 task 3a. We perform four different experiments which consist of a …

The thesis proposed here intends to assist information retrieval and text mining tasks
through the negation and speculation detection focusing on two different areas. In the …