NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Table 5: The performance (in %) of our model on the test set for subtask 1 (binary classification). The subscripts denote our official ranking.
['[BOLD] Accuracy', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
By using a simple MLP neural network architecture, our system achieves a high performance which is ranked third and fifth out of forty-four teams using accuracy and F1 metrics, respectively.