@InProceedings{araki-EtAl:2016:COLING,
  author    = {Araki, Jun  and  Rajagopal, Dheeraj  and  Sankaranarayanan, Sreecharan  and  Holm, Susan  and  Yamakawa, Yukari  and  Mitamura, Teruko},
  title     = {Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1125--1136},
  abstract  = {We present a novel approach to automated question generation that improves upon
	prior work both from a technology perspective and from an assessment
	perspective. Our system is aimed at engaging language learners by generating
	multiple-choice questions which utilize specific inference steps over multiple
	sentences, namely coreference resolution and paraphrase detection. The system
	also generates correct answers and semantically-motivated phrase-level
	distractors as answer choices. Evaluation by human annotators indicates that
	our approach requires a larger number of inference steps, which necessitate
	deeper semantic understanding of texts than a traditional single-sentence
	approach.},
  url       = {http://aclweb.org/anthology/C16-1107}
}