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Existing approaches on zero-shot event detection usually train models on datasets annotated with known event types, and prompt them with unseen event definitions.
Deep structured neural network for event temporal relation extraction
Rujun Han, I Hsu, Mu Yang, Aram Galstyan, Ralph Weischedel, Nanyun Peng, et al. 2019 · 1909
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 1909
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Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2004
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Cross-media structured common space for multimedia event extraction
Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, and Shih-Fu Chang. 2020b · 2005
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Biomedical event extraction with hierarchical knowledge graphs
Kung-Hsiang Huang, Mu Yang, and Nanyun Peng. 2020 · 2009
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Document-level event extraction with efficient end-to-end learning of cross-event dependencies
Kung-Hsiang Huang and Nanyun Peng. 2020 · 2010
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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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From light to rich ere: annotation of entities, relations, and events
Zhiyi Song, Ann Bies, Stephanie Strassel, Tom Riese, Justin Mott, Joe Ellis, Jonathan Wright, Seth Kulick, Neville Ryant, and Xiaoyi Ma. 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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Data Augmentation using Pre-trained Transformer Models
Varun Kumar, Ashutosh Choudhary, and Eunah Cho. 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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Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
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Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation
Xuanli He, Islam Nassar, Jamie Ryan Kiros, Gholamreza Haffari, and Mohammad Norouzi. 2021 · 2021
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Neural data augmentation via example extrapolation
Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, and Hyung Won Chung. 2021 · 2021
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Zero-shot event extraction via transfer learning: Challenges and insights
Qing Lyu, Hongming Zhang, Elior Sulem, and Dan Roth. 2021 · 2021
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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. 2021 · 2021
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Generating Datasets with Pretrained Language Models
Timo Schick and Hinrich Schütze. 2021 · 2021
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Zero-shot Label-Aware Event Trigger and Argument Classification
Hongming Zhang, Haoyu Wang, and Dan Roth. 2021 · 2021
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A reevaluation of event extraction: Past, present, and future challenges
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, and Heng Ji. 2023 · 2023
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Exploiting asymmetry for synthetic training data generation: SynthIE and the case of information extraction
Martin Josifoski, Marija Sakota, Maxime Peyrard, and Robert West. 2023 · 2023
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Do models really learn to follow instructions? an empirical study of instruction tuning
Po-Nien Kung and Nanyun Peng. 2023 · 2023
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Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, and Shikun Zhang. 2023 · 2023
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Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
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RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
Yew Ken Chia, Lidong Bing, Soujanya Poria, and Luo Si. 2022 · 2022
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Summarization as indirect supervision for relation extraction
Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, and Muhao Chen. 2022 · 2022
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Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng, Jiaxin Huang, Yu Zhang, and Jiawei Han. 2022 · 2022
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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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Mee: A novel multilingual event extraction dataset
Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt, and Thien Huu Nguyen. 2022 · 2022
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Code4struct: Code generation for few-shot event structure prediction
Xingyao Wang, Sha Li, and Heng Ji. 2022 · 2022
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ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, and Lingpeng Kong. 2022 · 2022
Cited alongside, same era.
Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, and Nanyun Peng. 2023a · 2023
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ChatGPT: Large-scale language model
OpenAI. 2021 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Zero-shot information extraction via chatting with chatgpt
Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, et al. 2023 · 2023
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Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Jiashu Xu, Mingyu Derek Ma, and Muhao Chen. 2023 · 2023
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Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, and Chien-Sheng Jason Wu. 2023 · 2023
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Glen: General-purpose event detection for thousands of types
Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, and Jiawei Han. 2023 · 2023
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Star: Improving low-resource information extraction by structure-to-text data generation with large language models
Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, and Wei Wang. 2024 · 2024
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