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1 Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection,WSDM 2020.FewEvent数据集链接: https://github.com/231sm/Low_Resource_KBP
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2 Exploring Pre-trained Language Models for Event Extraction and Generation,ACL2019
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3 One for All: Neural Joint Modeling of Entities and Events,AAAI2019
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4 Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction, EMNLP2019
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5 Zero-Shot Transfer Learning for Event Extraction [HuangL,ACL2018]
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6 Joint Event Extraction via Recurrent Neural Networks, NAACL-HLT 2016
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7 Joint Entity and Event Extraction with Generative Adversarial Imitation Learning[T Zhang, H Ji, etc.]
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8 Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks[Y Chen, 2015]
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9 Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction,一种针对中文金融事件抽取的端到端文档
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综述论文:
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1 An Overview of Event Extraction from Text [F Hogenboom .etc ]
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2 元事件抽取研究综述 (Survey on Meta-event Extraction).
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## Surveys(综述论文)
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[:arrow_up:](#table-of-contents)
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