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Recent works in Event Argument Extraction (EAE) have focused on improving model generalizability to cater to new events and domains.
Language models are few-shot learners
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DEGREE: A data-efficient generation-based event extraction model
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The Berkeley FrameNet project
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The timebank corpus
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The automatic content extraction (ACE) program – tasks, data, and evaluation
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Interrater reliability: the kappa statistic
Mary L McHugh. 2012 · 2012
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Joint event extraction via structured prediction with global features
Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
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A comparison of the events and relations across ACE, ERE, TAC-KBP, and FrameNet annotation standards
Jacqueline Aguilar, Charley Beller, Paul McNamee, Benjamin Van Durme, Stephanie Strassel, Zhiyi Song, and Joe Ellis. 2014 · 2014
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Modeling biological processes for reading comprehension
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, and Christopher D. Manning. 2014 · 2014
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Overview of linguistic resources for the tac kbp 2014 evaluations: Planning, execution, and results
Joe Ellis, Jeremy Getman, and Stephanie M Strassel. 2014 · 2014
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Overview of linguistic resources for the tac kbp 2015 evaluations: Methodologies and results
Joe Ellis, Jeremy Getman, Dana Fore, Neil Kuster, Zhiyi Song, Ann Bies, and Stephanie M Strassel. 2015 · 2015
Cited alongside, same era.
From light to rich ERE: annotation of entities, relations, and events
Zhiyi Song, Ann Bies, Stephanie M. Strassel, Tom Riese, Justin Mott, Joe Ellis, Jonathan Wright, Seth Kulick, Neville Ryant, and Xiaoyi Ma. 2015 · 2015
Cited alongside, same era.
A survey of event extraction methods from text for decision support systems
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong, and Emiel Caron. 2016 · 2016
Cited alongside, same era.
Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
Cited alongside, same era.
Joint extraction of events and entities within a document context
Bishan Yang and Tom M. Mitchell. 2016 · 2016
Cited alongside, same era.
MAVEN: A Massive General Domain Event Detection Dataset
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, and Jie Zhou. 2020 · 2020
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ASER: A Large-Scale Eventuality Knowledge Graph , page 201–211. Association for Computing Machinery, New York, NY, USA
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020 · 2020
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ESTER: A machine reading comprehension dataset for reasoning about event semantic relations
Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, and Nanyun Peng. 2021 · 2021
Later among the works it cites.
Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
Later among the works it cites.
Zero-shot event extraction via transfer learning: Challenges and insights
Qing Lyu, Hongming Zhang, Elior Sulem, and Dan Roth. 2021 · 2021
Later among the works it cites.
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Overview of linguistic resources for the tac kbp 2017 evaluations: Methodologies and results
Jeremy Getman, Joe Ellis, Zhiyi Song, Jennifer Tracey, and Stephanie M Strassel. 2017 · 2017
Cited alongside, same era.
Zero-shot transfer learning for event extraction
Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, and Clare Voss. 2018 · 2018
Cited alongside, same era.
Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Interpretable relevant emotion ranking with event-driven attention
Yang Yang, Deyu Zhou, Yulan He, and Meng Zhang. 2019b · 2019
Cited alongside, same era.
Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
Cited alongside, same era.
Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
Cited alongside, same era.
Event extraction as multi-turn question answering
Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, and Yong Zhu. 2020 · 2020
Cited alongside, same era.
Structured prediction as translation between augmented natural languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, and Stefano Soatto. 2021 · 2021
Later among the works it cites.
It’s not just size that matters: Small language models are also few-shot learners
Timo Schick and Hinrich Schütze. 2021b · 2021
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RESIN: A dockerized schema-guided cross-document cross-lingual cross-media information extraction and event tracking system
Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, and Heng Ji. 2021 · 2021
Later among the works it cites.
Zero-shot Label-aware Event Trigger and Argument Classification
Hongming Zhang, Haoyu Wang, and Dan Roth. 2021 · 2021
Later among the works it cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
Closest in time.
Degree: A data-efficient generative event extraction model
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, and Nanyun Peng. 2022b · 2022
Closest in time.
Textual entailment for event argument extraction: Zero- and few-shot with multi-source learning
Oscar Sainz, Itziar Gonzalez-Dios, Oier Lopez de Lacalle, Bonan Min, and Eneko Agirre. 2022 · 2022
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DocEE: A large-scale and fine-grained benchmark for document-level event extraction
MeiHan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, and Juanzi Li. 2022 · 2022
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Query and extract: Refining event extraction as type-oriented binary decoding
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, and Lifu Huang. 2022a · 2022
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