SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical Questions

Jing Li, Shangping Zhong, Kaizhi Chen, Taibiao Li. SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical Questions. In Yanjie Wei, Min Li 0007, Pavel Skums, Zhipeng Cai 0001, editors, Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Volume 13064 of Lecture Notes in Computer Science, pages 561-571, Springer, 2021. [doi]

@inproceedings{LiZCL21-0,
  title = {SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical Questions},
  author = {Jing Li and Shangping Zhong and Kaizhi Chen and Taibiao Li},
  year = {2021},
  doi = {10.1007/978-3-030-91415-8_47},
  url = {https://doi.org/10.1007/978-3-030-91415-8_47},
  researchr = {https://researchr.org/publication/LiZCL21-0},
  cites = {0},
  citedby = {0},
  pages = {561-571},
  booktitle = {Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings},
  editor = {Yanjie Wei and Min Li 0007 and Pavel Skums and Zhipeng Cai 0001},
  volume = {13064},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91415-8},
}