@InProceedings{geva-berant:2018:C18-1,
  author    = {Geva, Mor  and  Berant, Jonathan},
  title     = {Learning to Search in Long Documents Using Document Structure},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {161--176},
  abstract  = {Reading comprehension models are based on recurrent neural networks that sequentially process the document tokens. As interest turns to answering more complex questions over longer documents, sequential reading of large portions of text becomes a substantial bottleneck. },
  url       = {http://www.aclweb.org/anthology/C18-1014}
}