@inproceedings{doogan-etal-2017-idiom,
    title = "Idiom Savant at {S}emeval-2017 Task 7: Detection and Interpretation of {E}nglish Puns",
    author = "Doogan, Samuel  and
      Ghosh, Aniruddha  and
      Chen, Hanyang  and
      Veale, Tony",
    editor = "Bethard, Steven  and
      Carpuat, Marine  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      Cer, Daniel  and
      Jurgens, David",
    booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/S17-2011/",
    doi = "10.18653/v1/S17-2011",
    pages = "103--108",
    abstract = "This paper describes our system, entitled Idiom Savant, for the 7th Task of the Semeval 2017 workshop, {\textquotedblleft}Detection and interpretation of English Puns{\textquotedblright}. Our system 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."
}