In this paper, we highlight the learning challenge and show that our learning method, independent of the model architecture, can give a significant gain.
following Clark and Gardner (2018), we filter a subset of segments in TRIVIAQA through Tf-IDf similarity between a segment and a question to maintain a reasonable length.