Titlebook: Structure Discovery in Natural Language; Chris Biemann Book 2012 Springer-Verlag Berlin Heidelberg 2012 68T50, 91F20, 05C82, 62H30,68T05.A

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摘要

Structure Discovery in Natural Language978-3-642-25923-4Series ISSN 2192-032X Series E-ISSN 2192-0338

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2192-032X new approach is defined.All software described is open sourc.Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought

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Book 2012led data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. .This book sets an ambitious goal: to shift the development of language processing sys

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orus. This phenomenon is most familiar from Hamiltonian dynamics. Hamiltonian systems are well known for their use in modelling the dynamics related to frictionless mechanics, including the planetary and lunar motions. In this context the general picture appears to be as follows. On the one hand, Ha