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The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Hao Peng
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Xiaozhi Wang
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Feng Yao
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Kaisheng Zeng
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Lei Hou
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Juanzi Li
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Zhiyuan Liu
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Weixing Shen
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Paper Details:
Month: July
Year: 2023
Location: Toronto, Canada
Venue:
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Citations
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https://github.com/THU-KEG/OmniEvent
https://www.ldc.upenn.edu/
https://www.ldc.upenn.edu/
https://github.com/dwadden/dygiepp
https://github.com/THU-KEG/MAVEN-dataset
https://github.com/xinyadu/eeqa
https://github.com/luyaojie/Text2Event
https://opensource.org/licenses/MIT
https://github.com/dwadden/dygiepp
https://spacy.io/
https://blender.cs.illinois.edu/software/
https://www.nltk.org/
https://github.com/thunlp/HMEAE
https://stanfordnlp.github.io/CoreNLP/
https://github.com/THU-KEG/MAVEN-dataset
https://github.com/THU-KEG/CLEVE
https://github.com/xinyadu/eeqa
https://github.com/xinyadu/eeqa/issues/11
https://github.com/xinyadu/eeqa/issues/5
https://github.com/mayubo2333/PAIE
https://github.com/luyaojie/Text2Event
Field Of Study