@inproceedings{yin-etal-2018-ecnu,
    title = "{ECNU} at {S}em{E}val-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods",
    author = "Yin, Zhenghang  and
      Wang, Feixiang  and
      Lan, Man  and
      Wang, Wenting",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/S18-1098/",
    doi = "10.18653/v1/S18-1098",
    pages = "600--606",
    abstract = "The paper describes our submissions to task 3 in SemEval-2018. There are two subtasks: Subtask A is a binary classification task to determine whether a tweet is ironic, and Subtask B is a fine-grained classification task including four classes. To address them, we explored supervised machine learning method alone and in combination with neural networks."
}