@InProceedings{wang-EtAl:2018:Short3,
  author    = {Wang, Shuohang  and  Yu, Mo  and  Jiang, Jing  and  Chang, Shiyu},
  title     = {A Co-Matching Model for Multi-choice Reading Comprehension},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {746--751},
  abstract  = {Multi-choice reading comprehension is a challenging task, which involves the matching between a passage and a question-answer pair. This paper proposes a new co-matching approach to this problem, which jointly models whether a passage can match both a question and a candidate answer. Experimental results on the RACE dataset demonstrate that our approach achieves state-of-the-art performance.},
  url       = {http://www.aclweb.org/anthology/P18-2118}
}