@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://aclanthology.org/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."
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%0 Conference Proceedings
%T ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods
%A Yin, Zhenghang
%A Wang, Feixiang
%A Lan, Man
%A Wang, Wenting
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F yin-etal-2018-ecnu
%X 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.
%R 10.18653/v1/S18-1098
%U https://aclanthology.org/S18-1098/
%U https://doi.org/10.18653/v1/S18-1098
%P 600-606
Markdown (Informal)
[ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods](https://aclanthology.org/S18-1098/) (Yin et al., SemEval 2018)
ACL