@InProceedings{rei-EtAl:2017:EMNLP2017,
  author    = {Rei, Marek  and  Bulat, Luana  and  Kiela, Douwe  and  Shutova, Ekaterina},
  title     = {Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {1537--1546},
  abstract  = {The ubiquity of metaphor in our everyday communication makes it an important
	problem for natural language understanding. Yet, the majority of metaphor
	processing systems to date rely on hand-engineered features and there is still
	no consensus in the field as to which features are optimal for this task. In
	this paper, we present the first deep learning architecture designed to capture
	metaphorical composition. Our results demonstrate that it outperforms the
	existing approaches in the metaphor identification task.},
  url       = {https://www.aclweb.org/anthology/D17-1162}
}