LaSTUS/TALN at IroSvA: Irony Detection in Spanish Variants

Abstract

The Irony Detection in Spanish Variants (IroSvA’19) shared task aims at investigating the recognition of irony in Twitter messages in three different Spanish variants: from Spain , Mexico, and Cuba. This paper describes our approach to the shared task: a Neural Network system based on a simple bidirectional LSTM (biLSTM) model. Since we have developed the system in the context of other related IberLEF 2019 shared tasks, we train multiple models simultaneously sharing some of the layers of the neural architecture between them. Furthermore, we also have applied a method for data augmentation given the scarcity of resources which were available.