Zhenghang Yin

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2018

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ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods
Zhenghang Yin | Feixiang Wang | Man Lan | Wenting Wang
Proceedings of the 12th International Workshop on Semantic Evaluation

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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