In computer science, the process of mapping terms to concept-space is referred to as
Word Sense Disambiguation (WSD). In general there are two main approaches to WSD;
supervised and unsupervised (Navigli, 2009). Supervised approaches typically use
machine-learning techniques that learn to classify senses from examples (i.e. training
sets).