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Event argument extraction (EAE) identifies event arguments and their specific roles for a given event.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 1907
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The automatic content extraction (ACE) program – tasks, data, and evaluation
George Doddington, Alexis Mitchell, Mark Przybocki, Lance Ramshaw, Stephanie Strassel, and Ralph Weischedel. 2004 · 2004
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Abstract meaning representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
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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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Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
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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
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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
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Liberal event extraction and event schema induction
Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, and Avirup Sil. 2016 · 2016
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Neural AMR: sequence-to-sequence models for parsing and generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, and Luke Zettlemoyer. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Zero-shot transfer learning for event extraction
Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, and Clare R. Voss. 2018 · 2018
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Neural cross-lingual event detection with minimal parallel resources
Jian Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2019a · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
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HMEAE: hierarchical modular event argument extraction
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, and Xiang Ren. 2019 · 2019
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BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
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Resource-enhanced neural model for event argument extraction
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, and Yaser Al-Onaizan. 2020 · 2020
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Graph transformer networks with syntactic and semantic structures for event argument extraction
Amir Pouran Ben Veyseh, Tuan Ngo Nguyen, and Thien Huu Nguyen. 2020 · 2020
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ASER: A large-scale eventuality knowledge graph
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020 · 2020
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GATE: graph attention transformer encoder for cross-lingual relation and event extraction
Wasi Uddin Ahmad, Nanyun Peng, and Kai-Wei Chang. 2021 · 2021
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One SPRING to rule them both: Symmetric AMR semantic parsing and generation without a complex pipeline
Michele Bevilacqua, Rexhina Blloshmi, and Roberto Navigli. 2021 · 2021
Cited alongside, same era.
Dynamic global memory for document-level argument extraction
Xinya Du, Sha Li, and Heng Ji. 2022 · 2022
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Language model priming for cross-lingual event extraction
Steven Fincke, Shantanu Agarwal, Scott Miller, and Elizabeth Boschee. 2022 · 2022
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DEGREE: A data-efficient generation-based event extraction model
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, and Nanyun Peng. 2022a · 2022
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Multilingual generative language models for zero-shot cross-lingual event argument extraction
Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, and Nanyun Peng. 2022 · 2022
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2022 · 2022
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GRIT: generative role-filler transformers for document-level event entity extraction
Xinya Du, Alexander M. Rush, and Claire Cardie. 2021a · 2021
Cited alongside, same era.
Template filling with generative transformers
Xinya Du, Alexander M. Rush, and Claire Cardie. 2021b · 2021
Cited alongside, same era.
Document-level entity-based extraction as template generation
Kung-Hsiang Huang, Sam Tang, and Nanyun Peng. 2021 · 2021
Cited alongside, same era.
Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
Cited alongside, same era.
Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
Cited alongside, same era.
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 · 2021
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
Cited alongside, same era.
Dynamic prefix-tuning for generative template-based event extraction
Xiao Liu, Heyan Huang, Ge Shi, and Bo Wang. 2022a · 2022
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P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang. 2022b · 2022
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Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
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Prompt for extraction? PAIE: Prompting argument interaction for event argument extraction
Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, and Jing Shao. 2022 · 2022
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GENEVA: pushing the limit of generalizability for event argument extraction with 100+ event types
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, and Nanyun Peng. 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. 2022 · 2022
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Cross-document misinformation detection based on event graph reasoning
Xueqing Wu, Kung-Hsiang Huang, Yi R. Fung, and Heng Ji. 2022 · 2022
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A two-stream amr-enhanced model for document-level event argument extraction
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, and Zhifang Sui. 2022 · 2022
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Improve event extraction via self-training with gradient guidance
Zhiyang Xu and Lifu Huang. 2022 · 2022
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Schema-aware reference as prompt improves data-efficient relational triple and event extraction
Yunzhi Yao, Shengyu Mao, Xiang Chen, Ningyu Zhang, Shumin Deng, and Huajun Chen. 2022 · 2022
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Efficient document-level event extraction via pseudo-trigger-aware pruned complete graph
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, and Min Zhang. 2022 · 2022
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