EventPlus: A Temporal Event Understanding Pipeline
Ma, Mingyu Derek, Sun, Jiao, Yang, Mu, Huang, Kung-Hsiang, Wen, Nuan, Singh, Shikhar, Han, Rujun, Peng, Nanyun
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jan-13-2021
- Country:
- Europe (0.93)
- North America > United States
- California (0.28)
- Colorado (0.28)
- Minnesota > Hennepin County
- Minneapolis (0.14)
- Genre:
- Research Report (0.50)
- Technology: