Abstract: A curriculum vitae (henceforth referred to as a vita) usually contains a wealth of abundant data such as per- sonal information, educational background, publications and work experience. It is significant to search, extract and ex- plore the data from these vita documents which may provide a more comprehensive and integral personal profile. This personal profile can be viewed as a series of events. Moreover, we can take advantage of events from different individual's vita to explore and establish relationships between these events and the people involved. In this paper, we presented a framework extracting and explorating vita event, which can retrieve vita documents from the Internet, extract events from these documents and save the events to a database for further exploration. More concretely, the work introduced in this paper includes; (1) an event presentation model which characterizes the basic attributes of events and is utilized for event exploration; (2) a probabilistic model for extracting events from vita documents automatically; (3) an event explo- ration approach by exploiting the co-occurrence of the event attributes on the basis of the event presentation model and the event extraction approach.

Key words: Conditional random fields, Event retrieval, Event extraction, Event presentation