A97-1013 describe the use of energy function optimisation in very shallow syntactic parsing
C02-1069 described above , we devised two basic optimisation strategies against which to benchmark
C00-1085 by trial-and-error . Itowever , optimisation using a held-out set is easy
C02-1069 the need for more sophisticated optimisation algo - rithms . 4.2 The sk-strings
A00-2004 DotPlot Five versions of Reynar 's optimisation algorithm ( Reynar , 1998 ) were
C02-1069 are labelled generalisation and optimisation in the implementation . The rst
C02-1069 use the results to seed the ACO optimisation . However , this approach su
A00-2004 works well in practice ) 3.4 Speed optimisation The running time of each step
C02-1069 to search out good solutions to optimisation problems . The ACO heuristic
A00-2004 segmentation accuracy . The speed optimisations significantly reduced the execution
C02-1027 for each of the modules . 7The optimisation made use of genetic algorithms
A00-2004 ilarity . It incorporates the optimisations described in section 3.4 . R98
A00-1009 first compiled and indexed for optimisation . Each module applies the following
C04-1024 calls of build - subtree . The optimisation with bit-vector operations described
C04-1041 iterative algorithm from the numerical optimisation lit - erature . The algorithm
C88-2113 implementation uses both of these optimisations . Notice that the intersection
C02-1069 alternative inference methods all apply optimisation techniques to try and minimise
C94-1102 We show the application of an optimisation technique to natural language
C92-2105 strategy is an exampie of revision . Optimisations are useful when changes have
A97-1035 documents ( and from the high level of optimisation present in modern database technology
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