  Event Extraction (EE) is one of the fundamental tasks in Information
Extraction (IE) that aims to recognize event mentions and their arguments
(i.e., participants) from text. Due to its importance, extensive methods and
resources have been developed for Event Extraction. However, one limitation of
current research for EE involves the under-exploration for non-English
languages in which the lack of high-quality multilingual EE datasets for model
training and evaluation has been the main hindrance. To address this
limitation, we propose a novel Multilingual Event Extraction dataset (MEE) that
provides annotation for more than 50K event mentions in 8 typologically
different languages. MEE comprehensively annotates data for entity mentions,
event triggers and event arguments. We conduct extensive experiments on the
proposed dataset to reveal challenges and opportunities for multilingual EE.
