A memory-based learning approach to event extraction in biomedical texts
Roser Morante, Vincent Van Asch and Walter Daelemans
In: BioNLP'09 Shared Task on Event Extraction, 4-5 Jun 2009, Boulder, CO, USA.
In this paper we describe the memory-based machine
learning system that we submitted to the
BioNLP Shared Task on Event Extraction. We modeled
the event extraction task using an approach that
has been previously applied to other natural language
processing tasks like semantic role labeling
or negation scope finding. The results obtained by
our system (30.58 F-score in Task 1 and 29.27 in
Task 2) suggest that the approach and the system
need further adaptation to the complexity involved
in extracting biomedical events.