We present a system for extracting biomedical events (detailed descriptions of biomolecular interactions) from research articles, developed for the BioNLP11 Shared Task. Our goal is to develop a system easily adaptable to different event schemes, following the theme of the BioNLP11 Shared Task: generalization, the extension of event extraction to varied biomedical domains. Our system extends our BioNLP09 Shared Task winning Turku Event Extraction System, which uses support vector machines to first detect event-defining words, followed by detection of their relationships.