@InProceedings{khullar-EtAl:2018:ACL2018-SRW,
  author    = {Khullar, Payal  and  Rachna, Konigari  and  Hase, Mukul  and  Shrivastava, Manish},
  title     = {Automatic Question Generation using Relative Pronouns and Adverbs},
  booktitle = {Proceedings of ACL 2018, Student Research Workshop},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {153--158},
  abstract  = {This paper presents a system that automatically generates multiple, natural language questions using relative pronouns and relative adverbs from complex English sentences. Our system is syntax-based, runs on dependency parse information of a single-sentence input, and achieves high accuracy in terms of syntactic correctness, semantic adequacy, fluency and uniqueness. One of the key advantages of our system, in comparison with other rule-based approaches, is that we nearly eliminate the chances of getting a wrong wh- word in the generated question, by fetching the requisite wh-word from the input sentence itself. Depending upon the input, we generate both factoid and descriptive type questions. To the best of our information, the exploitation of wh-pronouns and wh-adverbs to generate questions is novel in the Automatic Question Generation task.},
  url       = {http://www.aclweb.org/anthology/P18-3022}
}