@InProceedings{flor-riordan:2018:W18-05,
  author    = {Flor, Michael  and  Riordan, Brian},
  title     = {A Semantic Role-based Approach to Open-Domain Automatic Question Generation},
  booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {254--263},
  abstract  = {We present a novel rule-based system for automatic generation of factual questions from sentences, using semantic role labeling (SRL) as the main form of text analysis. The system is capable of generating both wh-questions and yes/no questions from the same semantic analysis. We present an extensive evaluation of the system and compare it to a recent neural network architecture for question generation. The SRL-based system outperforms the neural system in both average quality and variety of generated questions.},
  url       = {http://www.aclweb.org/anthology/W18-0530}
}