Fiscal space Fiscal space Fiscal space is the flexibility of a government in its spending choices, and, more generally, to the financial well-being of a government. Peter Heller (2005) defined it “as room in a government’s budget that allows it to provide resources for a desired purpose without jeopardizing the sustainability of its financial position or the stability of the economy.” There are different exact definitions for the term, and different metrics on how to measure it. The most influential definitions of the term come from international institutions, e.g., the International Monetary Fund (IMF) and the World Bank, the United Nations agencies,
Word-sense disambiguation space. However, these supervised methods are subject to a new knowledge acquisition bottleneck since they rely on substantial amounts of manually sense-tagged corpora for training, which are laborious and expensive to create. Because of the lack of training data, many word sense disambiguation algorithms use semi-supervised learning, which allows both labeled and unlabeled data. The Yarowsky algorithm was an early example of such an algorithm. It uses the ‘One sense per collocation’ and the ‘One sense per discourse’ properties of human languages for word sense disambiguation. From observation, words tend to exhibit only one sense in most given discourse and