English

EventPlus: A Temporal Event Understanding Pipeline

Computation and Language 2021-04-27 v2 Artificial Intelligence Human-Computer Interaction

Abstract

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.

Keywords

Cite

@article{arxiv.2101.04922,
  title  = {EventPlus: A Temporal Event Understanding Pipeline},
  author = {Mingyu Derek Ma and Jiao Sun and Mu Yang and Kung-Hsiang Huang and Nuan Wen and Shikhar Singh and Rujun Han and Nanyun Peng},
  journal= {arXiv preprint arXiv:2101.04922},
  year   = {2021}
}

Comments

To appear at NAACL 2021 (Demonstrations)

R2 v1 2026-06-23T22:06:27.471Z