Event mention detection using rough set and semantic similarity
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In any text Events represent a rich source of information, such as proper names that specify the people, organizations, locations, etc., that participate in the event, dates that specify the time of the event, noun phrases that describe the event, and keywords that indicate that an interesting event has occurred. In this paper our focus is on those elements in terms of how we use natural language processing techniques to capture, analyze and identify the role each element plays in the event and understand how they are linked to form events as well as how they form the relationships between related events.