Razieh Baradaran - Department of information technology, university of Qom, Qom, Iran
Behrouz Minaei-Bidgoli - Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran

Event extraction is one of the most usefull and challenging information extraction tasks that is considered as foundation for many natural language processing applications. In this study we have presented a modular approach for event extraction from historical Arabic text with complex linguistic structure and completely unstructured format.Presented approach has 4 main stages consist of preprocessing, event mention detection, gramatical relation detection and argument extraction. Argument extraction task has Independent subtasks for extracting each event argument.

Information Extraction, Event Extraction