Tapter-level-oriented event extraction method, chapter-level-oriented event extraction system, storage medium and electronic equipment

The invention provides a chapter-level-oriented event extraction method and system, a storage medium and electronic equipment, and relates to the technical field of natural language processing. The method comprises the following steps: acquiring a to-be-analyzed document; obtaining an event type based on a machine learning understanding model according to the to-be-analyzed document; according to the document marked with the event type, obtaining a corresponding event parameter type-entity candidate object relation pair by adopting a learning search model or a deep neural network model; according to the event type, the parameter type and the entity candidate object, a macroscopic event template frame is filled and serves as an event extraction result to be returned to a user. According to the method, a definition parameter filling set of each event type is constrained to be a predefined but highly-dependent category set containing key event information, so that events are expressed to a user in a relatively s