title: Information extraction technologies for the life science industry.
abstract: Access to relevant information and knowledge is essential for all steps of the drug discovery process. However, keeping track of relevant information in publications and patents becomes a real challenge for scientists and managers in industrial research. Computer-aided information extraction (IE) systems have been developed to support the work of scientists by extracting relevant information from scientific publications and presenting it in an aggregated, condensed form. In this review, we will give an overview on current information extraction strategies in the life sciences with a special focus on biological entity recognition and more recent developments towards the identification and extraction of chemical compound names and structures.:
authors: Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53754 Sankt Augustin, Germany. Electronic address:juliane.fluck@scai.fraunhofer.de.
authors: Juliane
authors: J
authors: Fluck
authors: Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53754 Sankt Augustin, Germany.
authors: Marc
authors: M
authors: Zimmermann
authors: TEMIS Deutschland GmbH, Kurfürstenanlage 3, 69115 Heidelberg, Germany.
authors: Günther
authors: G
authors: Kurapkat
authors: Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53754 Sankt Augustin, Germany.
authors: Martin
authors: M
authors: Hofmann