Supervised Approach to Recognize Question Type in a QA System for Health

Many attempts have been made in the QA domain but no system applicable to the field of health is currently available on the Internet. This paper describes a bilingual French/English question answering system adapted to the health domain and more particularly the detection of the question's model. Indeed, the Question Analyzer module for identifying the question's model has a greater effect on the rest of the QA system. Our original hypothesis for the QA is that a question can be defined by two criteria: type of answer expected and medical type. These two must appear in the step of detection of the model in order to better define the type of question and thus, the corresponding answer. For this, questions were searched on the Internet and then given to experts in order to obtain classifications according to criteria such as type of question and type of medical context as mentioned above. In addition, tests of supervised and non-supervised classification were made to determine...

• Type: Conference
• Year: 2008
• Where: MIE
• Authors: Sarah Cruchet, Arnaud Gaudinat, Célia Boyer
• Keywords: Bilingual French/english Question, Healthcare, Medical Type, MIE 2008, Question's Model