Fiscal federalism concept" that helps in designing financial relations between the national and subnational levels of the government, "fiscal decentralization on the other hand is a process of applying such principles". Federal and non-federal countries differ in the manner in which such principles are applied. Application differs because unitary and federal governments differ in their political and legislative context and thus provide different opportunities for fiscal decentralization. The concepts of fiscal federalism are related to vertical and horizontal fiscal relations. The notions related to horizontal fiscal relations are related to regional imbalances and horizontal competition. Similarly the notions related to fiscal relations
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