Nuan Wen
2021
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Shikhar Singh
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Nuan Wen
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Yu Hou
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Pegah Alipoormolabashi
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Te-lin Wu
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Xuezhe Ma
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Nanyun Peng
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
EventPlus: A Temporal Event Understanding Pipeline
Mingyu Derek Ma
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Jiao Sun
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Mu Yang
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Kung-Hsiang Huang
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Nuan Wen
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Shikhar Singh
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Rujun Han
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Nanyun Peng
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
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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Co-authors
- Shikhar Singh 2
- Nanyun Peng 2
- Yu Hou 1
- Pegah Alipoormolabashi 1
- Te-Lin Wu 1
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