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OverviewThis 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. Full Product DetailsAuthor: Martha Palmer , Daniel Gildea , Nianwen Xue , Graeme HirstPublisher: Morgan & Claypool Publishers Imprint: Morgan & Claypool Publishers Dimensions: Width: 18.70cm , Height: 0.50cm , Length: 23.50cm Weight: 0.195kg ISBN: 9781598298314ISBN 10: 1598298313 Pages: 103 Publication Date: 30 January 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface Semantic Roles Available Lexical Resources Machine Learning for Semantic Role Labeling A Cross-Lingual Perspective SummaryReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |