A Novel Hierarchical Discourse Model for Scientific Article and It's Efficient Top-K Resampling-based Text Classification Approach

Min Gao, Chun-Hua Chen, Zhi-Han Gao, Wei-Long Chen, Yuan Ren, Sam Kwong, Zhi-hui Zhan. A Novel Hierarchical Discourse Model for Scientific Article and It's Efficient Top-K Resampling-based Text Classification Approach. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022. pages 774-781, IEEE, 2022. [doi]

@inproceedings{GaoCGCRKZ22,
  title = {A Novel Hierarchical Discourse Model for Scientific Article and It's Efficient Top-K Resampling-based Text Classification Approach},
  author = {Min Gao and Chun-Hua Chen and Zhi-Han Gao and Wei-Long Chen and Yuan Ren and Sam Kwong and Zhi-hui Zhan},
  year = {2022},
  doi = {10.1109/SMC53654.2022.9945306},
  url = {https://doi.org/10.1109/SMC53654.2022.9945306},
  researchr = {https://researchr.org/publication/GaoCGCRKZ22},
  cites = {0},
  citedby = {0},
  pages = {774-781},
  booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5258-8},
}