Extraction of biomedical events
Roser Morante, Vincent Van Asch and Walter Daelemans
Computational Linguistics in The Netherlands 2010, selected papers from the twentieth CLIN meeting
, Utrecht, The Netherlands
In this paper we describe a memory-based machine learning system that extracts biomedical events from texts relying on information from contextual and syntactic features. The main characteristics of the system are that it uses information from dependency syntax and that it integrates classifiers that learn event triggers and event participants jointly. The results show that this system is more efficient than a similar memory-based system that used shallow context information and integrated classifiers in a traditional pipeline architecture.