@InProceedings{guo-EtAl:2017:I17-4,
  author    = {Guo, Shangmin  and  Liu, Kang  and  He, Shizhu  and  Liu, Cao  and  Zhao, Jun  and  Wei, Zhuoyu},
  title     = {IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {34--40},
  abstract  = {The IJCNLP-2017 Multi-choice Question
	Answering(MCQA) task aims at exploring
	the performance of current Question
	Answering(QA) techniques via the realworld
	complex questions collected from
	Chinese Senior High School Entrance Examination
	papers and CK12 website1. The
	questions are all 4-way multi-choice questions
	writing in Chinese and English respectively
	that cover a wide range of subjects,
	e.g. Biology, History, Life Science
	and etc. And, all questions are restrained
	within the elementary and middle school
	level. During the whole procedure of this
	task, 7 teams submitted 323 runs in total.
	This paper describes the collected data, the
	format and size of these questions, formal
	run statistics and results, overview and
	performance statistics of different methods},
  url       = {http://www.aclweb.org/anthology/I17-4005}
}