Chinese Medical Nested Named Entity Recognition Model Based on Feature Fusion and Bidirectional Lattice Embedding Graph

Qing Cong, Zhiyong Feng 0002, Guozheng Rao, Li Zhang 0059. Chinese Medical Nested Named Entity Recognition Model Based on Feature Fusion and Bidirectional Lattice Embedding Graph. In Xin Wang 0030, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng 0002, Yingxiao Shao, Hongzhi Yin, editors, Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV. Volume 13946 of Lecture Notes in Computer Science, pages 314-324, Springer, 2023. [doi]

@inproceedings{CongFRZ23,
  title = {Chinese Medical Nested Named Entity Recognition Model Based on Feature Fusion and Bidirectional Lattice Embedding Graph},
  author = {Qing Cong and Zhiyong Feng 0002 and Guozheng Rao and Li Zhang 0059},
  year = {2023},
  doi = {10.1007/978-3-031-30678-5_24},
  url = {https://doi.org/10.1007/978-3-031-30678-5_24},
  researchr = {https://researchr.org/publication/CongFRZ23},
  cites = {0},
  citedby = {0},
  pages = {314-324},
  booktitle = {Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV},
  editor = {Xin Wang 0030 and Maria Luisa Sapino and Wook-Shin Han and Amr El Abbadi and Gill Dobbie and Zhiyong Feng 0002 and Yingxiao Shao and Hongzhi Yin},
  volume = {13946},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30678-5},
}