Teste Repositóri
2014-01-01
Resultados de pesquisa
Foram encontrados 7 registos.
We present our first participation in a ShARe/CLEF eHealth
Lab contributing for task 2a. Task 2 is an extension of the 2013 lab
task 1 and consists of information extraction from clinical text for Dis-
ease/Disorder Template Filling; task 2a aims at predicting each attribute’s
normalization value.
This is our first approach to the problem of extracting and handling
information from clinical texts. More than getting a good result, our
priority is to understand the problems associated with this area.
For that, we developed a system that combines information from cTAKES
output and the training corpus. The performance was measured using
accuracy. Our system ranked 7th with an accuracy value of 0.802, a F 1
value of 0.214, a precision value of 0.217 and a recall value of 0.211.
