@InProceedings{bao-EtAl:2016:COLING,
  author    = {Bao, Junwei  and  Duan, Nan  and  Yan, Zhao  and  Zhou, Ming  and  Zhao, Tiejun},
  title     = {Constraint-Based Question Answering with Knowledge Graph},
  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     = {2503--2514},
  abstract  = {WebQuestions and SimpleQuestions are two benchmark data-sets commonly used in
	recent knowledge-based question answering (KBQA) work.
	Most questions in them are `simple' questions which can be answered based on a
	single relation in the knowledge base.
	Such data-sets lack the capability of evaluating KBQA systems on complicated
	questions.
	Motivated by this issue, we release a new data-set, namely ComplexQuestions,
	aiming to measure the quality of KBQA systems on 'multi-constraint' questions
	which require multiple knowledge base relations to get the answer.
	Beside, we propose a novel systematic KBQA approach to solve multi-constraint
	questions.
	Compared to state-of-the-art methods, our approach not only obtains comparable
	results on the two existing benchmark data-sets, but also achieves significant
	improvements on the ComplexQuestions.},
  url       = {http://aclweb.org/anthology/C16-1236}
}