ProfNER’s proceedings and resulting papers will be available here after the task takes place. Meanwhile, you can check some of the related publications to the task:

  • Weissenbacher D, Gonzalez-Hernandez G. Proceedings of the Fourth Social Media Mining for Health Applications (# SMM4H) Workshop & Shared Task. In Proceedings of the Fourth Social Media Mining for Health Applications (# SMM4H) Workshop & Shared Task. 2019. https://www.aclweb.org/anthology/W19-32
  • Weissenbacher D, Sarker A, Klein A, O’Connor K, Magge A, Gonzalez-Hernandez G. Deep neural networks for ensemble for detecting medication mentions in tweets. Journal of the American Medical Informatics Association 2019;ocz156. https://doi.org/10.1093/jamia/ocz156
  • Sarker A, Chandrashekar P, Magge A, Cai H, Klein A, Gonzalez G. Discovering cohorts of pregnant women from social media for safety surveillance and analysis. Journal of Medical Internet Research 2017;19(10):e361. https://doi.org/10.2196/jmir.8164
  • O’Connor K, Sarker A, Perrone J, Gonzalez-Hernandez G. Monitoring prescription medication abuse from Twitter: an annotated corpus and annotation guidelines for reproducible machine learning research. Journal of Medical Internet Research Preprints 13/08/2019:15861. https://doi.org/10.2196/preprints.15861
  • Klein AZ, Sarker A, Cai H, Weissenbacher D, Gonzalez-Hernandez G. Social media mining for birth defects research: a rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter. Journal of Biomedical Informatics 2018;87:68-78. https://doi.org/10.1016/j.jbi.2018.10.001
  • Klein AZ, Sarker A, Weissenbacher D, Gonzalez-Hernandez G. Towards scaling Twitter for digital epidemiology of birth defects. npj Digital Medicine 2019;2:96. https://doi.org/10.1038/s41746-019-0170-5