From Texts to Structured Documents: The Case of Health Practice Guidelines

Amanda Bouffier (1)

1 LIPN - Laboratoire d'Informatique de Paris-Nord

This paper describes a system capable of semi-automatically filling an XML template from free texts in the clinical domain (practice guidelines). The XML template includes semantic information not explicitly encoded in the text (pairs of conditions and actions/recommendations). Therefore, there is a need to compute the exact scope of conditions over text sequences expressing the required actions. We present in this paper the rules developed for this task. We show that the system yields good performance when applied to the analysis of French practice guidelines.

Mots clés: Health practice guidelines; Natural Language processing; GEM (Guideline Elements Model)

Domaines: Intelligence artificielle [cs.AI]; Traitement du texte et du document

Amanda Bouffier. From Texts to Structured Documents: The Case of Health Practice Guidelines. International Semantic Web Conference-Doctoral Consortium, Nov 2007, Busan, South Korea. pp.NC. ⟨hal-00174858⟩