A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
Contributions are welcomed, you are encouraged to:
- Open an issue and send me the paper info
- Directly pull request
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Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin . ACL 2019. [pdf] [code]
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Natural Language to Structured Query Generation via Meta-Learning. Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He. NAACL 2018[short]. [pdf] [code]
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Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang. AAAI 2020. [pdf]
- Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources. Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin. AAAI 2020. [pdf]
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Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang ACL 2020. [pdf]
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Domain Adaptive Dialog Generation via Meta Learning. Kun Qian, Zhou Yu. ACL 2019. [pdf] [code]
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Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings. IJCAI 2019. [pdf]
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Personalizing Dialogue Agents via Meta-Learning. Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu, Pascale Fung. ACL 2019[short]. [pdf] [code]
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Dynamic Memory Induction Networks for Few-Shot Text Classification. Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu. ACL 2020. [pdf]
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Few-shot Text Classification with Distributional Signatures. Yujia Bao, Menghua Wu, Shiyu Chang and Regina Barzilay. ICLR 2020. [pdf] [code]
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Induction Networks for Few-Shot Text Classification. Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun. EMNLP 2019. [pdf]
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Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. Jiawei Wu, Wenhan Xiong, William Yang Wang. EMNLP 2019. [pdf]
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Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision. Abiola Obamuyide, Andreas Vlachos. ACL 2019[short]. [pdf]
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Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen. EMNLP 2019. [pdf] [code]
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Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen. WSDM 2020. [pdf]
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Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. EMNLP 2019[short]. [pdf][code]
- Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach. Zhenjie Zhao, Xiaojuan Ma. EMNLP 2019. [pdf] [code](metric-based)
- Meta-Learning for Low-Resource Neural Machine Translation. Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho. EMNLP 2018. [pdf]
- Investigating Meta-Learning Algorithms for Low-Resource NLU tasks. Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos. EMNLP 2019[short]. [pdf]
- Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu. ACL 2020[long]. [pdf][code]
- Pre-training Text Representations as Meta Learning. Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu. ACL 2020[short]. [pdf]