Fetching the paper…
Reading the bibliography…
Lifelong event detection aims to incrementally update a model with new event types and data while retaining the capability on previously learned old types.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
The automatic content extraction (ace) program-tasks, data, and evaluation
George R Doddington, Alexis Mitchell, Mark A Przybocki, Lance A Ramshaw, Stephanie M Strassel, and Ralph M Weischedel. 2004 · 2004
Earlier work this paper cites.
Herding dynamical weights to learn
Max Welling. 2009 · 2009
Earlier work this paper cites.
A language-independent neural network for event detection
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, and Ting Liu. 2016 · 2016
Earlier work this paper cites.
Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
Earlier work this paper cites.
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
Earlier work this paper cites.
Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato. 2017 · 2017
Earlier work this paper cites.
icarl: Incremental classifier and representation learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, and Christoph H. Lampert. 2017 · 2017
Earlier work this paper cites.
Improving event extraction via multimodal integration
Tongtao Zhang, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph Ellis, Lifu Huang, Wei Liu, Heng Ji, and Shih-Fu Chang. 2017 · 2017
Earlier work this paper cites.
End-to-end incremental learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, and Karteek Alahari. 2018 · 2018
Earlier work this paper cites.
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud, and Yoshua Bengio. 2019 · 2019
Earlier work this paper cites.
Episodic memory in lifelong language learning
Cyprien de Masson d’Autume, Sebastian Ruder, Lingpeng Kong, and Dani Yogatama. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Sentence embedding alignment for lifelong relation extraction
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, and William Yang Wang. 2019 · 2019
Cited alongside, same era.
Large scale incremental learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, and Yun Fu. 2019 · 2019
Cited alongside, same era.
Continual prompt tuning for dialog state tracking
Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, and Minlie Huang. 2022 · 2019
Cited alongside, same era.
Continual lifelong learning in natural language processing: A survey
Magdalena Biesialska, Katarzyna Biesialska, and Marta R. Costa-jussà. 2020 · 2020
Cited alongside, same era.
Incremental event detection via knowledge consolidation networks
CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks
Zixuan Ke, Bing Liu, Hu Xu, and Lei Shu. 2021a · 2021
Later among the works it cites.
Adapting BERT for continual learning of a sequence of aspect sentiment classification tasks
Zixuan Ke, Hu Xu, and Bing Liu. 2021b · 2021
Later among the works it cites.
The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
Later among the works it cites.
Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
Later among the works it cites.
P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, and Jie Tang. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pengfei Cao, Yubo Chen, Jun Zhao, and Taifeng Wang. 2020 · 2020
Cited alongside, same era.
Lifelong language knowledge distillation
Yung-Sung Chuang, Shang-Yu Su, and Yun-Nung Chen. 2020 · 2020
Cited alongside, same era.
Improved schemes for episodic memory-based lifelong learning
Yunhui Guo, Mingrui Liu, Tianbao Yang, and Tajana Rosing. 2020 · 2020
Cited alongside, same era.
Continual relation learning via episodic memory activation and reconsolidation
Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2020 · 2020
Cited alongside, same era.
Semi-supervised new event type induction and event detection
Lifu Huang and Heng Ji. 2020 · 2020
Cited alongside, same era.
Distill and replay for continual language learning
Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. 2020 · 2020
Cited alongside, same era.
MAVEN: A Massive General Domain Event Detection Dataset
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, and Jie Zhou. 2020 · 2020
Cited alongside, same era.
Continual learning in task-oriented dialogue systems
Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Pascale Fung, and Zhiguang Wang. 2021 · 2021
Later among the works it cites.
LFPT5: A unified framework for lifelong few-shot language learning based on prompt tuning of T5
Chengwei Qin and Shafiq Joty. 2021 · 2021
Later among the works it cites.
TransPrompt: Towards an automatic transferable prompting framework for few-shot text classification
Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, and Ming Gao. 2021a · 2021
Later among the works it cites.
Lifelong event detection with knowledge transfer
Pengfei Yu, Heng Ji, and Prem Natarajan. 2021 · 2021
Later among the works it cites.
Hierarchical inductive transfer for continual dialogue learning
Shaoxiong Feng, Xuancheng Ren, Kan Li, and Xu Sun. 2022 · 2022
Closest in time.
The art of prompting: Event detection based on type specific prompts
Sijia Wang, Mo Yu, and Lifu Huang. 2022 · 2022
Closest in time.
Consistent representation learning for continual relation extraction
Kang Zhao, Hua Xu, Jiangong Yang, and Kai Gao. 2022 · 2022
Closest in time.