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Pre-trained neural language models bring significant improvement for various NLP tasks, by fine-tuning the models on task-specific training sets.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019c · 1907
Earlier work this paper cites.
Structbert: Incorporating language structures into pre-training for deep language understanding
Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, and Luo Si. 2019b · 1908
Earlier work this paper cites.
ALBERT: A lite BERT for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
Earlier work this paper cites.
LIMIT-BERT : Linguistic informed multi-task BERT
Junru Zhou, Zhuosheng Zhang, and Hai Zhao. 2019b · 1910
Earlier work this paper cites.
A comprehensive survey on transfer learning
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He. 2019 · 1911
Earlier work this paper cites.
Semi-supervised stochastic multi-domain learning using variational inference
Yitong Li, Timothy Baldwin, and Trevor Cohn. 2019a · 1934
Earlier work this paper cites.
Automated relational meta-learning
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, and Zhenhui Li. 2020 · 2001
Earlier work this paper cites.
Goal-oriented multi-task bert-based dialogue state tracker
Pavel Gulyaev, Eugenia Elistratova, Vasily Konovalov, Yuri Kuratov, Leonid Pugachev, and Mikhail Burtsev. 2020 · 2002
Earlier work this paper cites.
KEML: A knowledge-enriched meta-learning framework for lexical relation classification
Chengyu Wang, Minghui Qiu, Jun Huang, and Xiaofeng He. 2020 · 2002
Earlier work this paper cites.
Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang. 2020 · 2003
Earlier work this paper cites.
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
John Blitzer, Mark Dredze, and Fernando Pereira. 2007 · 2007
Earlier work this paper cites.
A survey on transfer learning
Sinno Jialin Pan and Qiang Yang. 2010 · 2010
Earlier work this paper cites.
Ontolearn reloaded: A graph-based algorithm for taxonomy induction
Paola Velardi, Stefano Faralli, and Roberto Navigli. 2013 · 2013
Earlier work this paper cites.
Transfer learning using computational intelligence: A survey
Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, and Guangquan Zhang. 2015 · 2015
Earlier work this paper cites.
Learning term embeddings for taxonomic relation identification using dynamic weighting neural network
Anh Tuan Luu, Yi Tay, Siu Cheung Hui, and See-Kiong Ng. 2016 · 2016
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel and Anders Søgaard. 2017 · 2017
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Bridge text and knowledge by learning multi-prototype entity mention embedding
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, and Juanzi Li. 2017 · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017 · 2017
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Adversarial multi-task learning for text classification
Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2017 · 2017
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Adversarial transfer learning for chinese named entity recognition with self-attention mechanism
Multi-domain sentiment classification based on domain-aware embedding and attention
Yitao Cai and Xiaojun Wan. 2019 · 2019
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Meta relational learning for few-shot link prediction in knowledge graphs
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, and Huajun Chen. 2019 · 2019
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Fine-tune BERT with sparse self-attention mechanism
Baiyun Cui, Yingming Li, Ming Chen, and Zhongfei Zhang. 2019 · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, and Ruslan Salakhutdinov. 2019 · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, and Shengping Liu. 2018 · 2018
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The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
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Multi-adversarial domain adaptation
Zhongyi Pei, Zhangjie Cao, Mingsheng Long, and Jianmin Wang. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Wasserstein distance guided representation learning for domain adaptation
Jian Shen, Yanru Qu, Weinan Zhang, and Yong Yu. 2018 · 2018
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A DIRT-T approach to unsupervised domain adaptation
Rui Shu, Hung H. Bui, Hirokazu Narui, and Stefano Ermon. 2018 · 2018
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Joaquin Vanschoren. 2018 · 2018
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Zi-Yi Dou, Keyi Yu, and Antonios Anastasopoulos. 2019 · 2019
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Coupling retrieval and meta-learning for context-dependent semantic parsing
Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, and Jian Yin. 2019 · 2019
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Domain-invariant feature distillation for cross-domain sentiment classification
Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, and Zhong Su. 2019 · 2019
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What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
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Revealing the dark secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers, and Anna Rumshisky. 2019 · 2019
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Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung. 2019 · 2019
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BERT and pals: Projected attention layers for efficient adaptation in multi-task learning
Asa Cooper Stickland and Iain Murray. 2019 · 2019
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BERT rediscovers the classical NLP pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
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