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Recently, prompt-tuning has attracted growing interests in event argument extraction (EAE).
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. 2019 · 1907
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The automatic content extraction (ace) program-tasks, data, and evaluation
George Doddington, Alexis Mitchell, Mark Przbocki, Lance Ramshaw, Stephanie Strassel, and Ralph Weischedel. 2004 · 2004
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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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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
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Jointly multiple events extraction via attention-based graph information aggregation
Xiao Liu, Zhunchen Luo, and Heyan Huang. 2018 · 2018
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Jointly extracting event triggers and arguments by dependency-bridge rnn and tensor-based argument interaction
Lei Sha, Feng Qian, Baobao Chang, and Zhifang Sui. 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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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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Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
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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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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.
A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
Cited alongside, same era.
Event extraction as machine reading comprehension
Jian Liu, Yubo Chen, Kang Liu, Wei Bi, and Xiaojiang Liu. 2020 · 2020
Cited alongside, same era.
Resource-enhanced neural model for event argument extraction
Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, and Yaser Al-Onaizan. 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, Cicero Nogueira dos Santos, Bing Xiang, and Stefano Soatto. 2020 · 2020
Cited alongside, same era.
Template-based named entity recognition using bart
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
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. 2021 · 2021
Later among the works it cites.
Open aspect target sentiment classification with natural language prompts
Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, and Alfred Hough. 2021 · 2021
Later among the works it cites.
Capturing event argument interaction via a bi-directional entity-level recurrent decoder
Xi Xiangyu, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, and Wei Wu. 2021 · 2021
Later among the works it cites.
Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction
Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2022 · 2022
Closest in time.
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Leyang Cui, Yu Wu, Jian Liu, Sen Yang, and Yue Zhang. 2021 · 2021
Cited alongside, same era.
Event argument extraction via a distance-sensitive graph convolutional network
Lu Dai, Bang Wang, Wei Xiang, and Yijun Mo. 2021 · 2021
Cited alongside, same era.
Ptr: Prompt tuning with rules for text classification
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, and Maosong Sun. 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.
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
Cited alongside, same era.
Inverse is better! fast and accurate prompt for few-shot slot tagging
Yutai Hou, Cheng Chen, Xianzhen Luo, Bohan Li, and Wanxiang Che. 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. 2022 · 2022
Closest in time.
Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification
Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, and Maosong Sun. 2022 · 2022
Closest in time.
Dynamic prefix-tuning for generative template-based event extraction
Xiao Liu, Heyan Huang, Ge Shi, and Bo Wang. 2022 · 2022
Closest in time.
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
Closest in time.