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Event extraction is a complex information extraction task that involves extracting events from unstructured text.
Roberta: A robustly optimized bert pretraining approach
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DEGREE: A data-efficient generation-based event extraction model
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Huggingface’s transformers: State-of-the-art natural language processing
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Continuous speech recognition by statistical methods
Frederick Jelinek. 1976 · 1976
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ACE 2005 Multilingual Training Corpus
C. Walker and Linguistic Data Consortium. 2005 · 2005
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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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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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Improving event detection with Abstract Meaning Representation
Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman. 2015 · 2015
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Event detection and domain adaptation with convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2015 · 2015
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Leveraging multilingual training for limited resource event extraction
Andrew Hsi, Yiming Yang, Jaime Carbonell, and Ruochen Xu. 2016 · 2016
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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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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter. 2017 · 2017
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Biomedical event extraction using convolutional neural networks and dependency parsing
Jari Björne and Tapio Salakoski. 2018 · 2018
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Event detection via gated multilingual attention mechanism
Jian Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2018 · 2018
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Biomedical event extraction based on knowledge-driven tree-LSTM
Diya Li, Lifu Huang, Heng Ji, and Jiawei Han. 2019 · 2019
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Facebook FAIR’s WMT19 news translation task submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov. 2019 · 2019
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Cross-lingual structure transfer for relation and event extraction
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, and Clare Voss. 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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Exploring pre-trained language models for event extraction and generation
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, and Dongsheng Li. 2019 · 2019
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Simple and effective noisy channel modeling for neural machine translation
Kyra Yee, Yann Dauphin, and Michael Auli. 2019 · 2019
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Extracting entities and events as a single task using a transition-based neural model
Extractive summarization as text matching
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, and Xuanjing Huang. 2020 · 2020
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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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SimCLS: A simple framework for contrastive learning of abstractive summarization
Yixin Liu and Pengfei Liu. 2021 · 2021
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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
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Cross-task instance representation interactions and label dependencies for joint information extraction with graph convolutional networks
Minh Van Nguyen, Viet Dac Lai, and Thien Huu Nguyen. 2021 · 2021
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Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, and Donghong Ji. 2019 · 2019
Cited alongside, same era.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020 · 2020
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Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
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Biomedical event extraction with hierarchical knowledge graphs
Kung-Hsiang Huang, Mu Yang, and Nanyun Peng. 2020 · 2020
Cited alongside, same era.
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.
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
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Few-shot table-to-text generation with prototype memory
Yixuan Su, Zaiqiao Meng, Simon Baker, and Nigel Collier. 2021 · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
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Document-level event extraction via parallel prediction networks
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Taifeng Wang. 2021 · 2021
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Contrastive information extraction with generative transformer
Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, and Huajun Chen. 2021 · 2021
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Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, and Jinlong Li. 2021 · 2021
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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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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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Generating disentangled arguments with prompts: A simple event extraction framework that works
Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, and Jianxin Li. 2022 · 2022
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Zero-shot event detection based on ordered contrastive learning and prompt-based prediction
Senhui Zhang, Tao Ji, Wendi Ji, and Xiaoling Wang. 2022 · 2022
Later among the works it cites.