This paper describes the method for biomedical event extraction. The biomedical events occurs in relative to biomedical concepts (objects) as proteins, genes. In this work, we try a hybrid method to identify given event types relative to a given set of proteins in biomedical text. The approach combines rule-based and machine learning. A Set of rules is built based on event triggers, and a set of features is selected to use for machine learning algorithm. Our system consists of four main phases: preprocessing, trigger detection, event detection and post-processing. These phases are developed based on UIMA1 framework. This work is continuous of our work for BioNLP2013 Shared Task2. The final result obtains 36.60 f-score.
Pham, Xuan-Quang and HO, Bao-Quoc, "Combination of Rule-based and Machine Learning for Biomedical Event Extraction" (2014). CONF-IRM 2014 Proceedings. 18.