@InProceedings{wadhwa-EtAl:2018:W18-10,
  author    = {Wadhwa, Soumya  and  Embar, Varsha  and  Grabmair, Matthias  and  Nyberg, Eric},
  title     = {Towards Inference-Oriented Reading Comprehension: ParallelQA},
  booktitle = {Proceedings of the Workshop on Generalization in the Age of Deep Learning},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {1--7},
  abstract  = {In this paper, we investigate the tendency of end-to-end neural Machine Reading Comprehension (MRC) models to match shallow patterns rather than perform inference-oriented reasoning on RC benchmarks. We aim to test the ability of these systems to answer questions which focus on referential inference. We propose ParallelQA, a strategy to formulate such questions using parallel passages. We also demonstrate that existing neural models fail to generalize well to this setting.},
  url       = {http://www.aclweb.org/anthology/W18-1001}
}