Deep Learning

CAGE: Constrained deep Attributed Graph Embedding

In this paper we deal with complex attributed graphs which can exhibit rich connectivity patterns and whose nodes are often associated with attributes, such as text or images. In order to analyze these graphs, the primary challenge is to find an …

Unintended Bias in Misogyny Detection

During the last years, the phenomenon of **hate against women** increased exponentially especially in online environments such as microblogs. Although this alarming phenomenon has triggered many studies both from computational linguistic and machine …

Deep learning and ensemble methods for Domain Adaptation

Real world applications of machine learning in natural language processing can span many different domains and usually require a huge effort for the annotation of domain specific training data. For this reason, domain adaptation techniques have …