{"id":22393096,"url":"https://github.com/ha-lins/metalearning4nlp-papers","last_synced_at":"2026-01-31T21:38:58.877Z","repository":{"id":111801655,"uuid":"256542000","full_name":"ha-lins/MetaLearning4NLP-Papers","owner":"ha-lins","description":"A list of recent papers about Meta / few-shot learning methods applied in NLP areas.","archived":false,"fork":false,"pushed_at":"2020-12-29T08:57:10.000Z","size":60,"stargazers_count":231,"open_issues_count":0,"forks_count":23,"subscribers_count":8,"default_branch":"master","last_synced_at":"2025-11-20T14:10:23.255Z","etag":null,"topics":["dialogue-systems","few-shot-learning","low-resource","meta-learning","nlp","papers-collection","semantic-parsing"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ha-lins.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2020-04-17T15:33:49.000Z","updated_at":"2024-12-16T09:11:07.000Z","dependencies_parsed_at":"2023-09-07T20:52:54.078Z","dependency_job_id":null,"html_url":"https://github.com/ha-lins/MetaLearning4NLP-Papers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ha-lins/MetaLearning4NLP-Papers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ha-lins%2FMetaLearning4NLP-Papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ha-lins%2FMetaLearning4NLP-Papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ha-lins%2FMetaLearning4NLP-Papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ha-lins%2FMetaLearning4NLP-Papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ha-lins","download_url":"https://codeload.github.com/ha-lins/MetaLearning4NLP-Papers/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ha-lins%2FMetaLearning4NLP-Papers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28956355,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T18:30:42.805Z","status":"ssl_error","status_checked_at":"2026-01-31T18:30:19.593Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dialogue-systems","few-shot-learning","low-resource","meta-learning","nlp","papers-collection","semantic-parsing"],"created_at":"2024-12-05T04:41:51.477Z","updated_at":"2026-01-31T21:38:58.864Z","avatar_url":"https://github.com/ha-lins.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Meta learning for NLP - Papers\nA list of recent papers about Meta / few-shot learning methods applied in NLP areas.\n\n## Call for Contributions\nContributions are welcomed, you are encouraged to:\n- Open an issue and send me the paper info\n- Directly pull request\n\n\n## Taxonomy in Applications\n\n### Fundamental NLP Tasks\n* ### Semantic Parsing \n1. **Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing.** *Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin\n.* ***ACL 2019***. [[pdf](https://arxiv.org/pdf/1906.07108.pdf)] [[code](https://github.com/microsoft/PointerSQL)]\n\n2. **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](https://www.aclweb.org/anthology/N18-2115/)] [[code](https://github.com/microsoft/PointerSQL)]\n\n3. **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](https://www.aaai.org/Papers/AAAI/2020GB/AAAI-SunY.6672.pdf)]\n\n4. **Hypernymy Detection for Low-Resource Languages via Meta Learning.** *Changlong Yu, Jialong Han, Haisong Zhang, Wilfred Ng.* ***ACL 2020[short]***. [[pdf](https://www.aclweb.org/anthology/2020.acl-main.336.pdf)] [[code](https://github.com/ccclyu/metaHypernymy)]\n\n\n* ### Named Entity Recognition\n1. **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](https://arxiv.org/pdf/1911.06161.pdf)]\n\n### Dialog System\n1. **Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.** *Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang* ***ACL 2020***. [[pdf](https://arxiv.org/pdf/1910.14326.pdf)][[code](https://github.com/zequnl/CMAML)]\n\n2. **Meta-Reinforced Multi-Domain State Generator for Dialogue Systems.** *Yi Huang, Junlan Feng, Min Hu, Xiaoting Wu, Xiaoyu Du, Shuo Ma* ***ACL 2020***. [[pdf](https://www.aclweb.org/anthology/2020.acl-main.636.pdf)]\n\n3. **Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment.** *Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun, Xiaodan Zhu* ***ACL 2020[short]***. [[pdf](https://www.aclweb.org/anthology/2020.acl-main.57.pdf)]\n\n4. **Domain Adaptive Dialog Generation via Meta Learning.** *Kun Qian, Zhou Yu.* ***ACL 2019***. [[pdf](https://www.aclweb.org/anthology/P19-1253/)] [[code](https://github.com/qbetterk/DAML)]\n\n5. **Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems.** *Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings.* ***IJCAI 2019***. [[pdf](https://arxiv.org/abs/1905.05644)] \n\n6. **Personalizing Dialogue Agents via Meta-Learning.** *Zhaojiang Lin, Andrea Madotto, Chien-Sheng Wu, Pascale Fung.* ***ACL 2019[short]***. [[pdf](https://www.aclweb.org/anthology/P19-1542.pdf)] [[code](https://github.com/HLTCHKUST/PAML)]\n\n7. **Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning.** *Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King.* ***EMNLP 2020[fingdings]***. [[pdf](https://arxiv.org/pdf/2010.01495.pdf)]\n\n8. **Graph Evolving Meta-Learning for Low-resource Medical Dialogue Generation.** *Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin.* ***AAAI 2021***. [[pdf](https://arxiv.org/abs/2012.11988.pdf)][[code](https://github.com/ha-lins/GEML-MDG)]\n\n### Classification\n1. **Dynamic Memory Induction Networks for Few-Shot Text Classification.** *Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu.* ***ACL 2020***. [[pdf](https://arxiv.org/pdf/2005.05727.pdf)]\n\n2. **Few-shot Text Classification with Distributional Signatures.** *Yujia Bao, Menghua Wu, Shiyu Chang and Regina Barzilay.* ***ICLR 2020***. [[pdf](https://arxiv.org/abs/1908.06039)] [[code](https://github.com/YujiaBao/Distributional-Signatures)]\n\n3. **Induction Networks for Few-Shot Text Classification.** *Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun.* ***EMNLP 2019***. [[pdf](https://arxiv.org/pdf/1902.10482.pdf)] \n\n4. **Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.** *Jiawei Wu, Wenhan Xiong, William Yang Wang.* ***EMNLP 2019***. [[pdf](https://www.aclweb.org/anthology/D19-1444.pdf)] \n\n5. **Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision.** *Abiola Obamuyide, Andreas Vlachos.* ***ACL 2019[short]***. [[pdf](https://www.aclweb.org/anthology/P19-1589/)] \n\n6. **Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks.** *Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum.* ***EMNLP 2020***. [[pdf](https://arxiv.org/pdf/2009.08445.pdf)]\n\n\n### Knowledge Graph\n\n1. **Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.** *Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen.* ***EMNLP 2019***. [[pdf](https://www.aclweb.org/anthology/D19-1431.pdf)] [[code](https://github.com/AnselCmy/MetaR)]\n\n2. **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](https://arxiv.org/pdf/1910.11621.pdf)]\n\n3. **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](https://arxiv.org/pdf/1908.11513.pdf)][[code](https://github.com/THU-KEG/MetaKGR)]\n\n### Text Emotion Distribution Learning\n\n1. **Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach.** *Zhenjie Zhao, Xiaojuan Ma.* ***EMNLP 2019***. [[pdf](https://www.aclweb.org/anthology/D19-1408.pdf)] [[code](https://github.com/zhaozj89/EDL-Meta)](metric-based) \n\n### Machine Translation\n1. **Meta-Learning for Low-Resource Neural Machine Translation.** *Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho.* ***EMNLP 2018***. [[pdf](https://www.aclweb.org/anthology/D18-1398.pdf)]\n\n### NLU\n1. **Investigating Meta-Learning Algorithms for Low-Resource NLU tasks.** *Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos.* ***EMNLP 2019[short]***. [[pdf](https://www.aclweb.org/anthology/D19-1112.pdf)]\n\n2. **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](https://arxiv.org/abs/2006.05702)][[code](https://github.com/AtmaHou/FewShotTagging)]\n\n### Pre-trained language models\n1. **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](https://arxiv.org/pdf/2004.05568)]\n\n2. **Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining.** *Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He.* ***EMNLP 2020***. [[pdf](https://arxiv.org/pdf/2003.13003.pdf)]\n\n\n### Speech Recognition\n1. **Meta-Transfer Learning for Code-Switched Speech Recognition.** *Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung.* ***ACL 2020[Long]***. [[pdf](https://arxiv.org/pdf/2004.14228.pdf)][[code](https://github.com/audioku/meta-transfer-learning)]\n\n2. **Meta Learning for End-to-End Low-Resource Speech Recognition.** *Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee.* ***ICASSP 2020***. [[pdf](https://arxiv.org/pdf/1910.12094.pdf)]\n\n3. **Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition.** *Xiao Yubei, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang and Liang Lin.* ***AAAI 2021***. [[pdf](https://arxiv.org/pdf/2012.11896.pdf)][[code](https://github.com/iamxiaoyubei/AMS)]\n\n### Question Answer\n1. **Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering.** *Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou.* ***ACL 2020***. [[pdf](https://www.aclweb.org/anthology/2020.acl-main.654.pdf)]\n\n### Cross-Lingual Transfer\n1. **Zero-Shot Cross-Lingual Transfer with Meta Learning.** *Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein.* ***EMNLP 2020***. [[pdf](https://arxiv.org/pdf/2003.02739.pdf)][[code](https://github.com/copenlu/X-MAML)]\n\n2. **Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.** *Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein.* ***EMNLP 2020***. [[pdf](Coming soon)]\n\n3. **On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.** *Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov.* ***EMNLP 2020***. [[pdf](https://arxiv.org/pdf/2010.03017.pdf)][[code](https://github.com/iedwardwangi/MetaAdapter)]\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fha-lins%2Fmetalearning4nlp-papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fha-lins%2Fmetalearning4nlp-papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fha-lins%2Fmetalearning4nlp-papers/lists"}