title: A knowledge extraction framework for biomedical pathways.
abstract: In this paper we present a novel knowledge extraction framework that is based on semantic parsing. The semantic information originates in a variety of resources, but one in particular, namely BioFrameNet, is central to the characterization of complex events and processes that form biomedical pathways. The paper discusses the promising results of semantic parsing and explains how these results can be used for capturing complex medical knowledge.
authors.affiliation: Human Language Technology Research Institute, The University of Texas at Dallas, Richardson, TX.
authors.forename: Sanda
authors.initials: S
authors.lastname: Harabagiu
authors.forename: Cosmin Adrian
authors.initials: CA
authors.lastname: Bejan