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In this paper we introduce our system for the task of Irony detection inEnglish tweets, a part of SemEval 2018. We propose representation learningapproach that relies on a multi-layered bidirectional LSTM, without usingexternal features that provide additional semantic information. Although ourmodel is able to outperform the baseline in the validation set, our resultsshow limited generalization power over the test set. Given the limited size ofthe dataset, we think the usage of more pre-training schemes would greatlyimprove the obtained results.

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets