Survey on Event Extraction Methods:Comparative Analysis of Deep Learning and Pre-training

Event extraction is born along with the development of information technology.As people's demand for extracting useful information from a wide variety of daily information is increasing,the research and development of event extraction has attracted more and more attention.This paper first introduces the development process of event extraction,clarifies the development context of event extraction,and then introduces two paradigms of event extractionand a comparative analysis of pipeline and fe-derated extraction paradigms is presented.Secondly,according to the level of event extraction,the development of event extraction in recent years is described from sentence level event extraction and text level event extraction.Then,the event extraction me-thods are compared and analyzed from three aspects:traditional event extraction methods,deep learning based event extraction methods,and Pre-training model-based event extraction methods.Finally,some typical application scenarios of event extraction are introduced,and the future development of event extraction topics is prospected according to the development status of event extraction.