publications

\* means equal contribution

Preprint

  1. Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
    Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, and Maosong Sun
    In arXiv Preprint
  2. Prompt-Learning for Fine-Grained Entity Typing
    Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, and Kim Hong-Gee
    In arXiv Preprint
  3. PTR: Prompt Tuning with Rules for Text Classification
    Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, and Maosong Sun
    In arXiv Preprint
  4. Exploring low-dimensional intrinsic task subspace via prompt tuning
    Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, and others
    In arXiv Preprint

2022

  1. OpenPrompt: An Open-source Framework for Prompt-learning
    🏆 Best Demo Paper Award
    Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, and Maosong Sun
    In ACL System Demonstration 2022
  2. Sparse Structure Search for Parameter-Efficient Tuning
    Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, and Maosong Sun
    In NeurIPS 2022
  3. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
    Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, and Maosong Sun
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2022
  4. Prototypical Verbalizer for Prompt-based Few-shot Tuning
    Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, and Zhiyuan Liu
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics
    ACL
    2022
  5. ProQA: Structural Prompt-based Pre-training for Unified Question Answering
    Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, and Nan Duan
    In Annual Conference of the North American Chapter of the Association for Computational Linguistics,
    NAACL
    2022

2021

  1. Few-NERD: A Few-shot Named Entity Recognition Dataset
    Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng, and Zhiyuan Liu
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2021
  2. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
    Dong Wang, Ning* Ding, Piji Li, and Hai-Tao Zheng
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2021
  3. Pre-Trained Models: Past, Present and Future
    Xu* Han, Zhengyan* Zhang, Ning* Ding, Yuxian* Gu, Xiao* Liu, Yuqi* Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, and Zhu Jun
    In AI Open 2021
  4. Prototypical Representation Learning for Relation Extraction
    Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, and Rui Zhang
    In International Conference on Learning Representations,
    ICLR
    2021

2020

  1. Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
    Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, and Hai-Tao Zheng
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2020
  2. Hierarchy-Aware Global Model for Hierarchical Text Classification
    Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, and Gongshen Liu
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2020
  3. Modeling Relation Paths for Knowledge Graph Completion
    Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, and Min Yang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
  4. Integrating Linguistic Knowledge to Sentence Paraphrase Generation
    Zibo Lin, Ziran Li, Ning Ding, Hai-Tao Zheng, Ying Shen, Xiaobin Zhao, and Cong-Zhi Zheng
    In AAAI Conference on Artificial Intelligence,
    AAAI
    2020
  5. Infobox-to-text Generation with Tree-like Planning based Attention Network
    Yang Bai, Ziran Li, Ning Ding, Ying Shen, and Hai-Tao Zheng
    In International Joint Conference on Artificial Intelligence,
    IJCAI
    2020
  6. Triple-to-Text Generation with an Anchor-to-Prototype Framework
    Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, and Ying Shen
    In International Joint Conference on Artificial Intelligence,
    IJCAI
    2020

2019

  1. Event Detection with Trigger-Aware Lattice Neural Network
    Ning Ding, Ziran Li, Zhiyuan Liu, and Hai-Tao Zheng
    In The Conference on Empirical Methods in Natural Language Processing,
    EMNLP
    2019
  2. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
    Ziran* Li, Ning* Ding, Zhiyuan Liu, Hai-Tao Zheng, and Ying Shen
    In Annual Meeting of the Association for Computational Linguistics,
    ACL
    2019