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Designed to promote conversation about how to educate students for a rapidly changing, innovation-based world, this comprehensive and illuminating book from international education expert Vivien Stewart focuses on understanding what the world's best school systems are doing right for the purpose of identifying what U.S. schools--at the national, state, and local level--might do differently and better.
Casper Branner (ca.1729-ca.1792) emigrated from southern Germany or possibly eastern Switzerland, and settled in the Shenandoah Valley of Virginia probably about 1750. He married Catherine and they had eight children. Descendants and relatives lived in Virginia, Tennessee, Georgia, Alabama, Mississippi, Arkansas, Kansas, Ohio, Illinois and elsewhere.
Ernest Hemingway (1899-1961) is celebrated as a novelist and man of action. He is perhaps most famous for WHOM THE BELL TOLLS and A FAREWELL TO ARMS. But he was equally prolific as a writer of short stories which touch on the same themes as the novels: war, love, the nature of heroism, reunciation, and the writer's life. The present collection includes all Hemingway's shorter fiction arranged chronologically from 'Up in Michigan' (1923) to 'Old Man at the Bridge (1938) and contains stories not currently available in any other UK edition of Hemingway's work's
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This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applying both supervised and unsupervised machine learning to this task, with a description of the standard stages and feature choices, as well as giving details of several specific systems. Recent advances include the use of joint inference to take advantage of context sensitivities, and attempts to improve performance by closer integration of the syntactic parsing task with semantic role labeling. Chapter 3 also discusses the impact the granularity of the semantic roles has on system performance. Having outlined the basic approach with respect to English, Chapter 4 goes on to discuss applying the same techniques to other languages, using Chinese as the primary example. Although substantial training data is available for Chinese, this is not the case for many other languages, and techniques for projecting English role labels onto parallel corpora are also presented. Table of Contents: Preface / Semantic Roles / Available Lexical Resources / Machine Learning for Semantic Role Labeling / A Cross-Lingual Perspective / Summary
Digital platforms controlled by Alibaba, Alphabet, Amazon, Facebook, Netflix, Tencent and Uber have transformed not only the ways we do business, but also the very nature of people's everyday lives. It is of vital importance that we understand the economic principles governing how these platforms operate. This book explains the driving forces behind any platform business with a focus on network effects. The authors use short case studies and real-world applications to explain key concepts such as how platforms manage network effects and which price and non-price strategies they choose. This self-contained text is the first to offer a systematic and formalized account of what platforms are and how they operate, concisely incorporating path-breaking insights in economics over the last twenty years.
This paper investigates the relation between growth forecast errors and planned fiscal consolidation during the crisis. We find that, in advanced economies, stronger planned fiscal consolidation has been associated with lower growth than expected, with the relation being particularly strong, both statistically and economically, early in the crisis. A natural interpretation is that fiscal multipliers were substantially higher than implicitly assumed by forecasters. The weaker relation in more recent years may reflect in part learning by forecasters and in part smaller multipliers than in the early years of the crisis.