@InProceedings{satria-tokunaga:2017:BEA,
  author    = {Satria, Arief Yudha  and  Tokunaga, Takenobu},
  title     = {Evaluation of Automatically Generated Pronoun Reference Questions},
  booktitle = {Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {76--85},
  abstract  = {This study provides a detailed analysis of evaluation of English pronoun
	reference questions which are created automatically by machine. Pronoun
	reference questions are multiple choice questions that ask test takers to
	choose an antecedent of a target pronoun in a reading passage from four
	options. The evaluation was performed from two perspectives: the perspective of
	English teachers and that of English learners. Item analysis suggests that
	machine-generated questions achieve comparable quality with human-made
	questions. Correlation analysis revealed a strong correlation between the
	scores of machine-generated questions and that of human-made questions.},
  url       = {http://www.aclweb.org/anthology/W17-5008}
}