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Document-level Event Extraction (DEE) is particularly tricky due to the two challenges it poses: scattering-arguments and multi-events.
“Scaffolding young learners’ reading of social studies texts.,”
P. Avery and Michael F. Graves, · 1997
Earlier work this paper cites.
“Reading strategies of successful readers through the three phase approach,”
A. Sarıçoban, · 2002
Earlier work this paper cites.
“Three reading phases and their applications in the teaching of english as a foreign language in reading classes with young learners,”
Elif Leyla Toprak and Gamze Almacıoğlu, · 2009
Earlier work this paper cites.
“Event extraction via dynamic multi-pooling convolutional neural networks,”
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao, · 2015
Earlier work this paper cites.
“Automatically labeled data generation for large scale event extraction,”
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, and Jun Zhao, · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
Earlier work this paper cites.
“Jointly multiple events extraction via attention-based graph information aggregation,”
Xiao Liu, Zhunchen Luo, and Heyan Huang, · 2018
Cited alongside, same era.
“DCFEE: A document-level Chinese financial event extraction system based on automatically labeled training data,”
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, and Jun Zhao, · 2018
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“Exploring pre-trained language models for event extraction and generation,”
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, and Dongsheng Li, · 2019
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“Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction,”
Shun Zheng, Wei Cao, Wei Xu, and Jiang Bian, · 2019
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“Reading like her: Human reading inspired extractive summarization,”
L. Luo, Xiang Ao, Y. Song, Feiyang Pan, Min Yang, and Q. He, · 2019
Cited alongside, same era.
“Event extraction as machine reading comprehension,”
Jian Liu, Yubo Chen, Kang Liu, Wei Bi, and Xiaojiang Liu, · 2020
Later among the works it cites.
“Event extraction by answering (almost) natural questions,”
Xinya Du and Claire Cardie, · 2020
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“Document-level event role filler extraction using multi-granularity contextualized encoding,”
Xinya Du and Claire Cardie, · 2020
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“Multi-sentence argument linking,”
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme, · 2020
Later among the works it cites.
“A two-step approach for implicit event argument detection,”
Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, and Eduard Hovy, · 2020
Later among the works it cites.
“Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction,”
Yaojie Lu, Hongyu Lin, Jin Xu, Xianpei Han, Jialong Tang, Annan Li, Le Sun, Meng Liao, and Shaoyi Chen, · 2021
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“A human-like semantic cognition network for aspect-level sentiment classification,”
Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, J. Guo, and Y. Liu, · 2019
Cited alongside, same era.
Later among the works it cites.