title: A pragmatic information extraction strategy for gathering data on genetic interactions.
abstract: We present in this paper a pragmatic strategy to perform information extraction from biologic texts. Since the emergence of the information extraction field, techniques have evolved, become more robust and proved their efficiency on specific domains. We are using a combination of existing linguistic and knowledge processing tools to automatically extract information about gene interactions in the literature. Our ultimate goal is to build a network of gene interactions. The methodologies used and the current results are discussed in this paper.
authors.affiliation: Xerox Research Centre Europe, Meylan, France. Denys.Proux@xrce.xerox.com
authors.forename: D
authors.initials: D
authors.lastname: Proux
authors.forename: F
authors.initials: F
authors.lastname: Rechenmann
authors.forename: L
authors.initials: L
authors.lastname: Julliard
mesh_terms: D000818:Animals; D016208:Databases, Factual; D005823:Genetics; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*