@InProceedings{hsiao-huang-chen:2017:I17-1,
  author    = {Hsiao, Wei-Chuan  and  Huang, Hen-Hsen  and  Chen, Hsin-Hsi},
  title     = {Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {976--985},
  abstract  = {This paper presents an approach to identify subject, type and property from
	knowledge base (KB) for answering simple questions. We propose new features to
	rank entity candidates in KB. Besides, we split a relation in KB into type and
	property. Each of them is modeled by a bi-directional LSTM. Experimental
	results show that our model achieves the state-of-the-art performance on the
	SimpleQuestions dataset. The hard questions in the experiments are also
	analyzed in detail.},
  url       = {http://www.aclweb.org/anthology/I17-1098}
}