@InProceedings{tayyarmadabushi-lee:2016:COLING,
  author    = {Tayyar Madabushi, Harish  and  Lee, Mark},
  title     = {High Accuracy Rule-based Question Classification using Question Syntax and Semantics},
  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     = {1220--1230},
  abstract  = {We present in this paper a purely rule-based system for Question Classification
	which we divide into two parts: The first is the extraction of relevant words
	from a question by use of its structure, and the second is the classification
	of questions based on rules that associate these words to Concepts. We achieve
	an accuracy of 97.2%, close to a 6 point improvement over the previous State of
	the Art of 91.6%. Additionally, we believe that machine learning algorithms can
	be applied on top of this method to further improve accuracy.},
  url       = {http://aclweb.org/anthology/C16-1116}
}