HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition

Wei Chen 0001, Lili Zhao, Pengfei Luo, Tong Xu 0001, Yi Zheng, Enhong Chen. HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. In Ingo Frommholz, Frank Hopfgartner, Mark Lee 0001, Michael Oakes 0001, Mounia Lalmas, Min Zhang 0006, Rodrygo L. T. Santos, editors, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. pages 296-305, ACM, 2023. [doi]

@inproceedings{0001ZL0ZC23,
  title = {HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition},
  author = {Wei Chen 0001 and Lili Zhao and Pengfei Luo and Tong Xu 0001 and Yi Zheng and Enhong Chen},
  year = {2023},
  doi = {10.1145/3583780.3614908},
  url = {https://doi.org/10.1145/3583780.3614908},
  researchr = {https://researchr.org/publication/0001ZL0ZC23},
  cites = {0},
  citedby = {0},
  pages = {296-305},
  booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023},
  editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee 0001 and Michael Oakes 0001 and Mounia Lalmas and Min Zhang 0006 and Rodrygo L. T. Santos},
  publisher = {ACM},
}