Daniele Bonadiman obtained his Master Degree in Computer Science at the University of Trento in 2015. His interests include: Semi-Supervised Deep Learning techniques applied to NLP and Sequence Labeling Tasks (Master thesis). Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).