EventPlus: A Temporal Event Understanding Pipeline

Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng


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.
Anthology ID:
2021.naacl-demos.7
Volume:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
Month:
June
Year:
2021
Address:
Online
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
56–65
Language:
URL:
https://aclanthology.org/2021.naacl-demos.7
DOI:
10.18653/v1/2021.naacl-demos.7
Bibkey:
Cite (ACL):
Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, and Nanyun Peng. 2021. EventPlus: A Temporal Event Understanding Pipeline. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, pages 56–65, Online. Association for Computational Linguistics.
Cite (Informal):
EventPlus: A Temporal Event Understanding Pipeline (Ma et al., NAACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.naacl-demos.7.pdf
Video:
 https://aclanthology.org/2021.naacl-demos.7.mp4
Code
 PlusLabNLP/EventPlus
Data
MATRES