@InProceedings{chen-zhuang-lin:2016:OKBQA2016,
  author    = {Chen, Po-Chun  and  Zhuang, Meng-Jie  and  Lin, Chuan-Jie},
  title     = {Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering},
  booktitle = {Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1--10},
  abstract  = {This paper proposes a new idea that uses Wikipedia categories as answer types
	and defines candidate sets inside Wikipedia.  The focus of a given question is
	searched in the hierarchy of Wikipedia main pages.  Our searching strategy
	combines head-noun matching and synonym matching provided in semantic
	resources.  The set of answer candidates is determined by the entry hierarchy
	in Wikipedia and the hyponymy hierarchy in WordNet.  The experimental results
	show that the approach can find candidate sets in a smaller size but achieve
	better performance especially for ARTIFACT and ORGANIZATION types, where the
	performance is better than state-of-the-art Chinese factoid QA systems.},
  url       = {http://aclweb.org/anthology/W16-4401}
}