@inproceedings{parde-nielsen-2018-detecting,
    title = "Detecting Sarcasm is Extremely Easy ;-)",
    author = "Parde, Natalie  and
      Nielsen, Rodney",
    editor = "Blanco, Eduardo  and
      Morante, Roser",
    booktitle = "Proceedings of the Workshop on Computational Semantics beyond Events and Roles",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-1303/",
    doi = "10.18653/v1/W18-1303",
    pages = "21--26",
    abstract = "Detecting sarcasm in text is a particularly challenging problem in computational semantics, and its solution may vary across different types of text. We analyze the performance of a domain-general sarcasm detection system on datasets from two very different domains: Twitter, and Amazon product reviews. We categorize the errors that we identify with each, and make recommendations for addressing these issues in NLP systems in the future."
}