A Survey on Event Extraction from Webpage
Rasha Ali, Ban Sharief Mustafa · 2022
Event extraction (EE) is one of most important researches in the field of Natural Language Processing (NLP). Numerous significant events occur every day all over the world, and it published in various media outlets with varying narrative styles. A primary job in EE is to determine if events in the real world have been reported in articles and posts driven by the 4Ws’ (what, who, when, and where). A complex relationship between people can be explained by an event, place, actions, and objects. An event-centered model captures the dynamic and semantic aspects of an event representation of event facts. An updated and comprehensive survey is needed due to the proliferation of methods, datasets, and evaluation metrics in the literature. In this paper, a survey on extracting events from websites and defining their types and applications in several different fields has been discussed. In addition, the study presents the strengths and weaknesses of event extraction systems for different types of models