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Book Cover
E-book
Author Lee, Kiyong, author.

Title Annotation-based semantics for space and time in language / Kiyong Lee, Korea University, Seoul ; with foreword by James Pustejovsky, Brandeis University
Published Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023
©2023

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Description 1 online resource (xxv, 467 pages) : illustrations, map
Series Studies in natural language processing
Studies in natural language processing.
Contents Cover -- Half-title -- Series information -- Endorsements -- Title page -- Copyright information -- Dedication -- Contents -- Foreword -- Preface -- Acknowledgments -- Part I Fundamentals -- 1 What Is a Semantic Annotation? -- 1.1 Annotation: Past and Present -- 1.1.1 Traditional Scholarship -- 1.1.2 Formats for Annotation -- 1.1.3 Taking a New Turn -- 1.2 Linguistic Annotation -- 1.2.1 Overview -- 1.2.2 Kinds of Tasks -- 1.2.3 Machine Learning -- 1.2.4 Levels of Linguistic Annotation -- 1.3 Semantic Annotation -- 1.3.1 Partial and Situated Information
1.3.2 Tasks and Applications of Semantic Annotation -- 1.4 Extended Summary -- 2 Data Segmentation -- 2.1 Overview -- 2.1.1 Basic Assumptions -- 2.1.2 Three Types of Base Segmentation -- 2.2 Phoneme Segmentation -- 2.2.1 General -- 2.2.2 Production of Speech Sounds -- 2.2.3 Visualizing Speech Sound Signals -- 2.3 Image Segmentation -- 2.4 Text Segmentation -- 2.4.1 General -- 2.4.2 Base Segmentation of Text -- 2.4.3 Tokenization -- 2.4.4 Morpho-syntactic Analysis -- 2.4.5 Chunking with POS-Tagging -- 2.5 Summary -- 3 Modeling a Semantic Annotation Scheme -- 3.1 Overview
3.2 Syntax: Abstract vs. Concrete Syntaxes -- 3.3 Abstract Syntax Proposed -- 3.3.1 Different Uses of an Abstract Syntax -- 3.3.2 Structure of the Abstract Syntax -- 3.4 Generation of Annotation Structures -- 3.4.1 Generating Base Structures -- 3.4.2 Generating Link Structures -- 3.5 Summary -- 4 Representation and Serialization -- 4.1 Overview -- 4.2 Representation Formats -- 4.2.1 Overview -- 4.2.2 Inline Annotation -- 4.2.3 Standoff Annotation -- 4.2.4 Mixed or Hybrid Format -- 4.3 Requirements for Representing Annotation Structures -- 4.3.1 Two Requirements for Linguistic Annotation
4.3.2 Conventions -- 4.3.3 Data Type Declaration -- 4.3.4 Variety of Representing Annotation Structures -- 4.4 Graphic and Serial Representation -- 4.4.1 Graphic Representation: Trees -- 4.4.2 GrAF: Graph Annotation Format -- 4.5 Predicate-Logic-Like Format -- 4.5.1 Overview -- 4.5.2 Conventions for pFormat -- 4.5.3 Illustrations -- 4.6 Summary -- 5 What Does Semantics Do for Annotation? -- 5.1 Introduction -- 5.2 Validating the Syntax of Semantic Annotation -- 5.2.1 Overview -- 5.2.2 Data and Markables -- 5.2.3 Attributes for Content Structures -- 5.3 Representing Logical Forms
5.3.1 An Intermediate Step Towards Interpretation -- 5.3.2 Shallow vs. Deeper Logical Forms -- 5.3.3 Enriching the Representation Language -- 5.3.4 Constructing a Model Structure for Interpretation -- 5.4 Type-Theoretic Semantics -- 5.4.1 Overview -- 5.4.2 Extension of Basic Types -- 5.4.3 Type Shifting or Coercion -- 5.4.4 Constraining Type Raising -- 5.5 Extended Summary -- 6 Annotation-Based Semantics -- 6.1 Introduction -- 6.2 Representation Language -- 6.2.1 Motivating ABSr -- 6.2.2 Type Theory Revisited -- 6.2.3 Syntax of ABSr -- 6.3 Merge Operations -- 6.3.1 Conjunctive Composition
Summary "Aimed at linguists and computer scientists working on natural language processing, this is the first book that shows, at a large scale, how to do semantics for spatio-temporal information based on annotation structures that conform to ISO international standards such as ISO-TimeML or ISO-Space"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Description based on online resource; title from digital title page (viewed on July 13, 2023)
Subject Semantics -- Data processing.
Space and time in language.
Computational linguistics.
computational linguistics.
Computational linguistics
Semantics -- Data processing
Space and time in language
Form Electronic book
Author Pustejovsky, J. (James), writer of foreword.
LC no. 2022053465
ISBN 9781108884532
1108884539
1108880959
9781108880954