@InProceedings{oele-evang:2017:SemEval,
  author    = {Oele, Dieke  and  Evang, Kilian},
  title     = {BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings},
  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     = {444--448},
  abstract  = {This paper describes our system participating in the SemEval-2017 Task 7, for
	the subtasks of homographic pun location and homographic pun interpretation.
	For pun interpretation, we use a knowledge-based Word Sense Disambiguation
	(WSD) method based on sense embeddings. Pun-based jokes can be divided into two
	parts, each containing information about the two distinct senses of the pun. To
	exploit this structure we split the context that is input to the WSD system
	into two local contexts and find the best sense for each of them. We use the
	output of pun interpretation for pun location. As we expect the two meanings of
	a pun to be very dissimilar, we compute sense embedding cosine distances for
	each sense-pair and select the word that has the highest distance. We describe
	experiments on different methods of splitting the context and compare our
	method to several baselines. We find evidence supporting our hypotheses and
	obtain competitive results for pun interpretation.},
  url       = {http://www.aclweb.org/anthology/S17-2076}
}