@InProceedings{koreeda-EtAl:2017:SemEval,
  author    = {Koreeda, Yuta  and  Hashito, Takuya  and  Niwa, Yoshiki  and  Sato, Misa  and  Yanase, Toshihiko  and  Kurotsuchi, Kenzo  and  Yanai, Kohsuke},
  title     = {bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {353--359},
  abstract  = {This paper describes a text-ranking system developed by bunji team in
	SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of
	the task is to re-rank the comments in a question-and-answer forum such that
	useful comments for answering the question are ranked high. We proposed a
	method that combines neural similarity features and hand-crafted comment
	plausibility features, and we modeled inter-comments relationship using
	conditional random field. Our approach obtained the fifth place in the Subtask
	A and the second place in the Subtask C.},
  url       = {http://www.aclweb.org/anthology/S17-2058}
}