EventPlus: A Temporal Event Understanding Pipeline
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)