Interestingness from COVID-19 Data: Ontology and Transformer-Based Methods

Abhilash C. Basavaraju, Nihar Sanda, Kavi Mahesh. Interestingness from COVID-19 Data: Ontology and Transformer-Based Methods. In Mohammed Hasanuzzaman, Jyoti Prakash Singh, Gaël Dias, Cristina Soguero-Ruíz, Terje Solvoll, Phuong Dinh Ngo, editors, Proceedings of The First Workshop on Context-aware NLP in eHealth (WNLPe-Health 2022) co-located with The nineteenth International Conference on Natural Language Processing (ICON-2022), Delhi, India, December 15-18, 2022. Volume 3416 of CEUR Workshop Proceedings, pages 70-80, CEUR-WS.org, 2022. [doi]

@inproceedings{BasavarajuSM22,
  title = {Interestingness from COVID-19 Data: Ontology and Transformer-Based Methods},
  author = {Abhilash C. Basavaraju and Nihar Sanda and Kavi Mahesh},
  year = {2022},
  url = {https://ceur-ws.org/Vol-3416/paper_8.pdf},
  researchr = {https://researchr.org/publication/BasavarajuSM22},
  cites = {0},
  citedby = {0},
  pages = {70-80},
  booktitle = {Proceedings of The First Workshop on Context-aware NLP in eHealth (WNLPe-Health 2022) co-located with The nineteenth International Conference on Natural Language Processing (ICON-2022), Delhi, India, December 15-18, 2022},
  editor = {Mohammed Hasanuzzaman and Jyoti Prakash Singh and Gaël Dias and Cristina Soguero-Ruíz and Terje Solvoll and Phuong Dinh Ngo},
  volume = {3416},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}