@InProceedings{jang-EtAl:2017:W17-55,
  author    = {Jang, Hyeju  and  Maki, Keith  and  Hovy, Eduard  and  Rose, Carolyn},
  title     = {Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames},
  booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {August},
  year      = {2017},
  address   = {Saarbrücken, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {320--330},
  abstract  = {In this paper, we present a novel and highly effective method for induction and
	application of metaphor frame templates as a step toward detecting metaphor in
	extended discourse. We infer implicit facets of a given metaphor frame using a
	semi-supervised bootstrapping approach on an unlabeled corpus. Our model
	applies this frame facet information to metaphor detection, and achieves the
	state-of-the-art performance on a social media dataset when building upon other
	proven features in a nonlinear machine learning model. In addition, we
	illustrate the mechanism through which the frame and topic information enable
	the more accurate metaphor detection.},
  url       = {http://aclweb.org/anthology/W17-5538}
}