We present EventPlus, a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction. Event information, especially event temporal knowledge, is a type of common sense knowledge that helps people understand how stories evolve and provides predictive hints for future events. EventPlus as the first comprehensive temporal event understanding pipeline provides a convenient tool for users to quickly obtain annotations about events and their temporal information for any user-provided document. Furthermore, we show EventPlus can be easily adapted to other domains (e.g., biomedical domain). We make EventPlus publicly available to facilitate event-related information extraction and downstream applications.
Do you need an event-centric NLU system that covers comprehensive event features and relations? Check out our demo system "EventPlus: A Temporal Event Understanding Pipeline" from #PlusLab presenting at #NAACL2021! https://t.co/0lH8VLIxni 1/3 pic.twitter.com/T1uCH7kNLb— Mingyu Derek MA (@mingyu_ma) June 8, 2021
It integrates several best-in-class components to perform event trigger and type detection, event argument detection, event duration detection, temporal relation extraction, and negation & speculation resolution. 2/3 pic.twitter.com/4nTmYmlcRi— Mingyu Derek MA (@mingyu_ma) June 8, 2021
Please try the live system at https://t.co/l4yE1CJYQv, talk to us in Session 10F (Tue 18:20 PDT) https://t.co/2OsTmYrgAD. This work is done w/ @sunjiao123sun_ @MuYang55 @steeve__huang, Nuan, Shikhar, @HanRujun and @VioletNPeng! @uclanlp 🐻 @USC_ISI 🐎 3/3— Mingyu Derek MA (@mingyu_ma) June 8, 2021