Student Team: Morgan Eidam, Adam Fidler, John Lara
Project Mentor: Arafat Sultan & Radu Florian, IBM; Vittorio Castelli, Amazon
Covid-19 has affected the lives of billions globally. Experts were required to make significant decisions affecting hundreds of thousands at a time with limited data. It’s crucial for researchers and the general public to have a way to easily navigate existing research to identify effective treatments and management policies. QA systems can be an effective tool to leverage existing research to answer important Covid-19 questions. This project utilized various domain adaptation tools such as several novel approaches to Gradual fine tuning as well as Adversarial training in order to improve the performance of our Covid QA model with very limited data.