@InProceedings{kobayashi-EtAl:2017:I17-1,
  author    = {Kobayashi, Mio  and  Ishii, Ai  and  Hoshino, Chikara  and  Miyashita, Hiroshi  and  Matsuzaki, Takuya},
  title     = {Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering},
  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     = {967--975},
  abstract  = {This paper presents a hybrid approach to the verification of statements about
	historical facts. The test data was collected from the world history
	examinations in a standardized achievement test for high school students. The
	data includes various kinds of false statements that were carefully written so
	as to deceive the students while they can be disproven on the basis of the
	teaching materials. Our system predicts the truth or falsehood of a statement
	based on text search, word cooccurrence statistics, factoid-style question
	answering, and temporal relation recognition. These features contribute to the
	judgement complementarily and achieved the state-of-the-art accuracy.},
  url       = {http://www.aclweb.org/anthology/I17-1097}
}