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Event extraction (EE) is a fundamental task in natural language processing (NLP) that involves identifying and extracting event information from unstructured text.
The probabilistic relevance framework: BM25 and beyond
Stephen E. Robertson and Hugo Zaragoza. 2009 · 2009
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Viet Dac Lai. 2022 · 2022
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CrudeOilNews: An annotated crude oil news corpus for event extraction
Meisin Lee, Lay-Ki Soon, Eu Gene Siew, and Ly Fie Sugianto. 2022 · 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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DocEE: A large-scale and fine-grained benchmark for document-level event extraction
MeiHan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, and Juanzi Li. 2022 · 2022
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Promptner: Prompting for named entity recognition. arxiv 2023
D Ashok and ZC Lipton. 2023 · 2023
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023 · 2023
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Retrieval-augmented code generation for universal information extraction
Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, et al. 2023 · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
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Towards general text embeddings with multi-stage contrastive learning
Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, and Meishan Zhang. 2023 · 2023
Cited alongside, same era.
A comprehensive overview of large language models
Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Naveed Akhtar, Nick Barnes, and Ajmal Mian. 2023 · 2023
Cited alongside, same era.
GENEVA: Benchmarking generalizability for event argument extraction with hundreds of event types and argument roles
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, and Nanyun Peng. 2023 · 2023
Cited alongside, same era.
Instructuie: Multi-task instruction tuning for unified information extraction. arxiv 2023
X Wang, W Zhou, C Zu, H Xia, T Chen, Y Zhang, R Zheng, J Ye, Q Zhang, T Gui, et al. 2023b · 2023
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Abhimanyu Dubey, Abhinav Jauhri, and Abhinav Pandey. 2024 · 2024
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IEPile: Unearthing large scale schema-conditioned information extraction corpus
Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, and Huajun Chen. 2024 · 2024
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Decompose, enrich, and extract! schema-aware event extraction using llms
Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, and Yuan-Fang Li. 2024 · 2024
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Optimizing gpt-4 turbo diagnostic accuracy in neuroradiology through prompt engineering and confidence thresholds
Akihiko Wada, Toshiaki Akashi, George Shih, Akifumi Hagiwara, Mitsuo Nishizawa, Yayoi K. Hayakawa, Junko Kikuta, Keigo Shimoji, Katsuhiro Sano, Koji Kamagata, Atsushi Nakanishi, and Shigeki Aoki. 2024 · 2024
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Xinglin Xiao, Yijie Wang, Nan Xu, Yuqi Wang, Hanxuan Yang, Minzheng Wang, Yin Luo, Lei Wang, Wenji Mao, and Daniel Zeng. 2023 · 2023
Cited alongside, same era.
Large language models for generative information extraction: A survey
Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, and Enhong Chen. 2023 · 2023
Cited alongside, same era.
Universalner: Targeted distillation from large language models for open named entity recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, and Hoifung Poon. 2023 · 2023
Cited alongside, same era.
Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Sam Ade Jacobs, and Ammar Ahmad Awan. 2024 · 2024
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Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu. 2024 · 2024
Cited alongside, same era.
Deepstruct: Pretraining of language models for structure prediction
Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. 2022a
Cited in the paper.
Text embeddings by weakly-supervised contrastive pre-training
Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022b
Cited in the paper.
Improving unsupervised relation extraction by augmenting diverse sentence pairs
Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, and Qi Li. 2023a
Cited in the paper.
An Yang, Baosong Yang, and Binyuan Hui. 2024 · 2024
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Llm-da: Data augmentation via large language models for few-shot named entity recognition
Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, and Xuanjing Huang. 2024 · 2024
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A multi-task embedder for retrieval augmented LLMs
Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, and Jian-Yun Nie. 2024 · 2024
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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al. 2025 · 2025
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