@InProceedings{ghaeini-EtAl:2018:C18-1,
  author    = {Ghaeini, Reza  and  Fern, Xiaoli  and  Shahbazi, Hamed  and  Tadepalli, Prasad},
  title     = {Dependent Gated Reading for Cloze-Style Question Answering},
  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     = {3330--3345},
  abstract  = {We present a novel deep learning architecture to address the cloze-style question answering task. Existing approaches employ reading mechanisms that do not fully exploit the interdependency between the document and the query. In this paper, we propose a novel \emph{dependent gated reading} bidirectional GRU network (DGR) to efficiently model the relationship between the document and the query during encoding and decision making. Our evaluation shows that DGR obtains highly competitive performance on well-known machine comprehension benchmarks such as the Children's Book Test (CBT-NE and CBT-CN) and Who DiD What (WDW, Strict and Relaxed). Finally, we extensively analyze and validate our model by ablation and attention studies.},
  url       = {http://www.aclweb.org/anthology/C18-1282}
}