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Fighting Traffic
The fight for the future of the city street between pedestrians, street railways, and promoters of the automobile between 1915 and 1930. Before the advent of the automobile, users of city streets were diverse and included children at play and pedestrians at large. By 1930, most streets were primarily a motor thoroughfares where children did not belong and where pedestrians were condemned as “jaywalkers.” In Fighting Traffic, Peter Norton argues that to accommodate automobiles, the American city required not only a physical change but also a social one: before the city could be reconstructed for the sake of motorists, its streets had to be socially reconstructed as places where motorists ...
A Phonetic Dictionary of the English Language
This volume is a comprehensive collection of critical essays on The Taming of the Shrew, and includes extensive discussions of the play's various printed versions and its theatrical productions. Aspinall has included only those essays that offer the most influential and controversial arguments surrounding the play. The issues discussed include gender, authority, female autonomy and unruliness, courtship and marriage, language and speech, and performance and theatricality.
Managing Urban Traffic Congestion
Offers policy-oriented, research-based recommendations for effectively managing traffic and cutting excess congestion in large urban areas.
Semantic Role Labeling
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...
