@InProceedings{miller-hempelmann-gurevych:2017:SemEval,
  author    = {Miller, Tristan  and  Hempelmann, Christian  and  Gurevych, Iryna},
  title     = {SemEval-2017 Task 7: Detection and Interpretation of English Puns},
  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     = {58--68},
  abstract  = {A pun is a form of wordplay in which a word suggests two or more meanings by
	exploiting polysemy, homonymy, or phonological similarity to another word, for
	an intended humorous or rhetorical effect.  Though a recurrent and expected
	feature in many discourse types, puns stymie traditional approaches to
	computational lexical semantics because they violate their
	one-sense-per-context assumption.  This paper describes the first competitive
	evaluation for the automatic detection, location, and interpretation of puns. 
	We describe the motivation for these tasks, the evaluation methods, and the
	manually annotated data set.  Finally, we present an overview and discussion of
	the participating systems' methodologies, resources, and results.},
  url       = {http://www.aclweb.org/anthology/S17-2005}
}