“…Majority of the systems developed for the TE task adopts the multi-task learning (MTL) framework (Zhu et al, 2019;Bhaskar et al, 2019;Kumar et al, 2019;Xu et al, 2019), ensemble method (Sharma and Roychowdhury, 2019), and transfer learning (Bhaskar et al, 2019) for achieving better accuracy. Xu et al (2019) employed the MTL approach Yadav et al, 2018;Yadav et al, 2019;Yadav et al, 2020) in TE task to learn from the auxiliary tasks of question answering (QA) and NLI. The best performing system at MedQA 2019-RQE shared task (Zhu et al, 2019) utilized the MTL approach to learn from intermediate NLI task.…”