OntoGene/BioMeXt : Information Extraction for the Life Sciences

Présentation
Intervenant
Dr Fabio Rinaldi
Institute of Computational Linguistics, University of Zürich, Zürich

In this talk the lecturer will describe text mining activities conducted by the OntoGene/BioMeXT research group (http://www.ontogene.org/) at the Institute of Computational Linguistics of the University of Zurich The goal of the group is to perform large-scale information extraction from textual sources for life sciences applications.

The OntoGene text mining system is based on a scalable entity recognition component, an in-house dependency parser, and a flexible relation mining approach. The OntoGene team has participated in several community-organized biomedical text mining challenges, obtaining competitive results in several of them.

He will present examples from projects dealing with knowledge extraction from the scientific literature, identification of possible causes of psychological disorders, epidemiological applications in veterinary medicine, author disambiguation, and assisted curation for life science databases

Date et heure
Lundi, 26 Juin, 2017 - De 11:00 à 12:00
Lieu
Salle Delachaux, Institut universitaire de médecine sociale et préventive, Bâtiment Biopôle 2, Rte de la Corniche 10, niveau 1, 1010 Lausanne

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Remarque: 
Recommandé par la Société suisse des médecins spécialistes en prévention et santé publique (SGPG) pour la reconnaissance de la formation continue.
Personne de contact: 
                         

IUMSP | www.iumsp.ch
Institut universitaire de médecine sociale et préventive
Route de la Corniche 10, 1010 Lausanne - Switzerland
+41 21 314 72 72 | iumsp@chuv.ch

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