Chinese complex question analysis based on event extraction

question analysis is one of the important components in Question-Answering system. Since the existence of events, complex question analysis becomes extremely difficult. Using semantic role labeling based on CRFs, event extraction provides effective support to formal description for semantic information of the complex questions. The semantic model built according to this method improves the accuracy of the information retrieval and answer extraction. Experimental results show the effectiveness of this method.