Fiscal illusion Mourao (2008) attempts to quantify fiscal illusion empirically for almost 70 democracies since 1960. Fiscal illusion Fiscal illusion is a public choice theory of government expenditure first developed by the Italian economist Amilcare Puviani in his 1903 book "Teoria della illusione finanziaria" ("Theory of Financial Illusion" (not yet translated into English, but translated into German in 1960 under the title "Die Illusionen in der öffentlichen Finanzwirtschaft", Berlin: Dunker & Humblot, 1960)). Fiscal illusion suggests that when government revenues are not completely transparent or are not fully perceived by taxpayers, then the cost of government is seen to be less than
Word-sense disambiguation way that reflects (and also has helped to shape) the innate ability provided by the brain's neural networks. In computer science and the information technology that it enables, it has been a long-term challenge to develop the ability in computers to do natural language processing and machine learning. A rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing