UO_IRO: Linguistic informed deep-learning model for irony detection
Reynier Ortega Bueno, José E. Medina Pagóla · Accademia University Press eBooks · 2018
This paper describes our UO_IRO system developed for participating in the shared task IronITA, organized within EVALITA: 2018 Workshop. Our approach is based on a deep learning model informed with linguistic knowledge. Specifically, a Convolutional (CNN) and Long Short Term Memory (LSTM) neural network are ensembled, also, the model is informed with linguistics information incorporated through its second to last hidden layer. Results achieved by our system are encouraged, however a more fine-tuned hyper-parameters setting is required for improving the model’s effectiveness.