@InProceedings{doogan-EtAl:2017:SemEval,
  author    = {Doogan, Samuel  and  Ghosh, Aniruddha  and  Chen, Hanyang  and  Veale, Tony},
  title     = {Idiom Savant at 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     = {103--108},
  abstract  = {This paper describes our system, entitled
	Idiom Savant, for the 7th Task of the Se-
	meval 2017 workshop, “Detection and in-
	terpretation of English Puns”. Our sys-
	tem consists of two probabilistic models
	for each type of puns using Google n-
	gram and Word2Vec. Our system achieved
	f-score of calculating, 0.663, and 0.07
	in homographic puns and 0.8439, 0.6631,
	and 0.0806 in heterographic puns in task
	1, task 2, and task 3 respectively.},
  url       = {http://www.aclweb.org/anthology/S17-2011}
}