Séminaires RALI-OLST

Drugs and Disorders: From specialized resources to Web data

Caroline Barrière

CRIM

Le mercredi 1er février 2012 à 11 h 30

Salle 3195, Pavillon André-Aisenstadt


We focus on the may_treat predicate linking drugs and disorders. Such predicate is expressed in RDF format in the VHA National Drug File Reference Terminology (NDF-RT), a specialized medical resource. The DailyMed dataset also contains this predicate, but only in textual form: for each drug there is an indication field that links the drug’s URI to a literal that is a long description (more than 100 words on the average). We show that natural language processing (NLP) techniques can be used to further distil the indication field to extract may_treat predicates. We then move to Web exploration and show how we can apply similar NLP techniques to find may_treat predicates. The diversity in natural language expressions and the embedding of good information among noisy and often redundant data make it a challenge to exploit the Web.


Suivez ce lien pour vous inscrire à la liste de diffusion RALI-OLST.
http://rali.iro.umontreal.ca/rali/?q=fr/node/1631

Liste de tous les séminaires pour l'année :

1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024