@InProceedings{desai-dakle-moldovan:2018:NLPTEA,
  author    = {Desai, Takshak  and  Dakle, Parag  and  Moldovan, Dan},
  title     = {Generating Questions for Reading Comprehension using Coherence Relations},
  booktitle = {Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {1--10},
  abstract  = {In this paper, we have proposed a technique for generating complex reading comprehension questions from a discourse that are more useful than factual ones derived from assertions. Our system produces a set of general-level questions using coherence relations and a set of well-defined syntactic transformations on the input text. Generated questions evaluate comprehension abilities like a comprehensive analysis of the text and its structure, correct identification of the author's intent, a thorough evaluation of stated arguments; and a deduction of the high-level semantic relations that hold between text spans. Experiments performed on the RST-DT corpus allow us to conclude that our system possesses a strong aptitude for generating intricate questions. These questions are capable of effectively assessing a student's interpretation of the text.},
  url       = {http://www.aclweb.org/anthology/W18-3701}
}