@InProceedings{yin-EtAl:2018:S18-11,
  author    = {Yin, Zhenghang  and  Wang, Feixiang  and  Lan, Man  and  Wang, Wenting},
  title     = {ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/S18-1098}
}

