Text representation is a basic issue of text information processing and event plays an important role in text understanding; both\nattract the attention of scholars.The event network conceals lexical relations in events, and its edges express logical relations between\nevents in document. However, the events and relations are extracted from event-annotated text, which makes it hard for largescale\ntext automatic processing. In the paper, with expanded CEC (Chinese Event Corpus) as data source, prior knowledge of\nmanifestation rules of event and relation as the guide, we propose an event extraction method based on knowledge-based rule of\nevent manifestation, to achieve automatic building and improve text processing performance of event network.
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