A simple ensemble method for hedge identification

Authors:
Ferenc P. Szidarovszky;Illés Solt;Domonkos Tikk
Affiliations:
Budapest University of Technology and Economics, Budapest, Hungary;Budapest University of Technology and Economics, Budapest, Hungary;Budapest University of Technology and Economics, Budapest, Hungary and Humboldt-Universitát zu Berlin, Berlin, Germany
Venue:
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Year:
2010

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Abstract

We present in this paper a simple hedge identification method and its application on biomedical text. The problem at hand is a subtask of CoNLL-2010 shared task. Our solution consists of two classifiers, a statistical one and a CRF model, and a simple combination schema that combines their predictions. We report in detail on each component of our system and discuss the results. We also show that a more sophisticated combination schema could improve the F-score significantly.