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.
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CITATION STYLE
Ma, M. D., Sun, J., Yang, M., Huang, K. H., Wen, N., Singh, S., … Peng, N. (2021). EventPlus: A Temporal Event Understanding Pipeline. In NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Demonstrations (pp. 56–65). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.naacl-demos.7
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