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Recent advancements in event argument extraction (EAE) involve incorporating useful auxiliary information into models during training and inference, such as retrieved instances and event templates.
Language models are few-shot learners
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Graph transformer networks with syntactic and semantic structures for event argument extraction
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Event extraction across multiple levels of biological organization
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Zero-shot transfer learning for event extraction
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
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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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Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh. 2019 · 2019
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Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
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Event extraction as machine reading comprehension
Jian Liu, Yubo Chen, Kang Liu, Wei Bi, and Xiaojiang Liu. 2020 · 2020
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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020
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Deepeventmine: end-to-end neural nested event extraction from biomedical texts
Hai-Long Trieu, Thy Thy Tran, Khoa NA Duong, Anh Nguyen, Makoto Miwa, and Sophia Ananiadou. 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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Degree: A data-efficient generation-based event extraction model
I Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, et al. 2021 · 2021
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Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
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Machine reading comprehension as data augmentation: A case study on implicit event argument extraction
Jian Liu, Yufeng Chen, and Jinan Xu. 2021 · 2021
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Retrieval-augmented generative question answering for event argument extraction
Xinya Du and Heng Ji. 2022 · 2022
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From simple to complex: A progressive framework for document-level informative argument extraction
Quzhe Huang, Yanxi Zhang, and Dongyan Zhao. 2023 · 2023
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Intra-event and inter-event dependency-aware graph network for event argument extraction
Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, and Shi Wang. 2023 · 2023
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Enhancing document-level event argument extraction with contextual clues and role relevance
Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, and Qu Hong. 2023b · 2023
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Event extraction as question generation and answering
Di Lu, Shihao Ran, Joel Tetreault, and Alejandro Jaimes. 2023 · 2023
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Contextualized soft prompts for extraction of event arguments
Chien Nguyen, Hieu Man, and Thien Nguyen. 2023 · 2023
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Dynamic global memory for document-level argument extraction
Xinya Du, Sha Li, and Heng Ji. 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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Crosslingual generalization through multitask finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng-Xin Yong, Hailey Schoelkopf, et al. 2022 · 2022
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Training language models to follow instructions with human feedback
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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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EA 2 E: Improving consistency with event awareness for document-level argument extraction
Qi Zeng, Qiusi Zhan, and Heng Ji. 2022 · 2022
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Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
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Retrieve-and-sample: Document-level event argument extraction via hybrid retrieval augmentation
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Ge Shi, Yunyue Su, Yongliang Ma, and Ming Zhou. 2023 · 2023
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An amr-based link prediction approach for document-level event argument extraction
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Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, and Kezhi Mao. 2023 · 2023
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Beyond single-event extraction: Towards efficient document-level multi-event argument extraction
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