Exploring ways beyond the simple supervised learning approach for biological event extraction

Authors:
György Móra;Richárd Farkas;György Szarvas;Zsolt Molnár
Affiliations:
Research Group on Artificial Intelligence, Szeged, Hungary;Research Group on Artificial Intelligence, Szeged, Hungary;Technische Universität Darmstadt, Darmstadt, Germany;Acheuron Hungary Ltd., Szeged, Hungary
Venue:
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Year:
2009

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Abstract

Our paper presents the comparison of a machine-learnt and a manually constructed expert-rule-based biological event extraction system and some preliminary experiments to apply a negation and speculation detection system to further classify the extracted events. We report results on the BioNLP'09 Shared Task on Event Extraction evaluation datasets, and also on an external dataset for negation and speculation detection.