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Extracting temporal information from raw text is fundamental for deep language understanding, and key to many applications like question answering, information extraction, and document summarization. Our long-term goal is to build complete temporal structure of documents and apply the temporal structure in other applications like textual entailment, question answering, dialog systems or others. In this paper, we present a first step, a system for extracting event, event features, temporaldoi:10.1109/icsc.2010.45 dblp:conf/semco/UzZamanA10 fatcat:dkqlvm2w5jdmvlvskwn2o5xlla