Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events

Anthony Yazdani, Dimitrios Proios, Hossein Rouhizadeh, Douglas Teodoro. Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events. In Md. Shad Akhtar, Tanmoy Chakraborty 0002, editors, Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. pages 212-223, Association for Computational Linguistics, 2022. [doi]

@inproceedings{YazdaniPRT22,
  title = {Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events},
  author = {Anthony Yazdani and Dimitrios Proios and Hossein Rouhizadeh and Douglas Teodoro},
  year = {2022},
  url = {https://aclanthology.org/2022.icon-main.27},
  researchr = {https://researchr.org/publication/YazdaniPRT22},
  cites = {0},
  citedby = {0},
  pages = {212-223},
  booktitle = {Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022},
  editor = {Md. Shad Akhtar and Tanmoy Chakraborty 0002},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-38-8},
}