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 word senses. Among these, supervised learning approaches have been the most successful algorithms to date. Accuracy of current algorithms is difficult to state without a host of caveats. In English, accuracy at the coarse-grained (homograph) level is routinely above 90%, with some methods on particular homographs achieving over 96%. On finer-grained sense distinctions, top accuracies from 59.1% to 69.0% have been reported in evaluation exercises (SemEval-2007, Senseval-2), where the baseline accuracy of the simplest possible algorithm of always choosing the most frequent sense was 51.4% and 57%, respectively. Disambiguation requires two strict inputs: a dictionary to specify the senses which