Tools for Text Mining over Biomedical Literature

Authors:
Fabio Rinaldi;Gerold Schneider;Kaarel Kaljurand;Michael Hess
Affiliations:
Institute of Computational Linguistics, IFI, University of Zurich, {rinaldi, gschneid, kalju, hess}@ifi.unizh.ch;Institute of Computational Linguistics, IFI, University of Zurich, {rinaldi, gschneid, kalju, hess}@ifi.unizh.ch;Institute of Computational Linguistics, IFI, University of Zurich, {rinaldi, gschneid, kalju, hess}@ifi.unizh.ch;Institute of Computational Linguistics, IFI, University of Zurich, {rinaldi, gschneid, kalju, hess}@ifi.unizh.ch
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

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Mining of relations between proteins over biomedical scientific literature using a deep-linguistic approach

Artificial Intelligence in Medicine

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Abstract

This poster describes OntoGene: an environment, based on a deep-linguistic parser, aimed at supporting the process of Text Mining from Biomedical Scientific Literature. We will illustrate in particular the Relation Extraction component and the development support facilities.