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Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
Not everyone is a friend of the manifold abbreviations that have by now beCome a part of the scientific language of medicine. In order to avoid misunderstanding these abbreviations, it is wise to refer to a reliable dic tionary, such as this one prepared by Heister. The abbreviation ED means, for instance, effective dose to the pharmacologist. However, it might also stand for emetic dose. Radiologists use the same abbreviation for erythema dose, and ED could also mean ethyl dichlorarsine. A com mon meaning of ECU is European currency unit, a meaning that might not be very often in scientific medical publications. ECU, however, also means environmental control unit or European Chiropractic Un...
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This well-illustrated study investigates the symbolic dimensions of painted maps as products of ambitious early modern European courts.