Development and Comparative Analysis of Event Relation Extraction Methods

Event relation extraction is an important research direction in the field of information extraction. Compared with named entity recognition, entity relation extraction, and event extraction. Event relation extraction can extract common-sense knowledge that is more in line with human intuition from unstructured texts and can be organized together in the form of logical interaction. In this paper, the current event relation extraction works are reviewed in detail. This paper is organized according to different types of event relations. In addition, this paper also introduces two kinds of event relation data sets. Finally, we discuss the challenges and prospects of event relation extraction.