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Natural Language Generation

Overview of attention for book
Cover of 'Natural Language Generation'

Table of Contents

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    Book Overview
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    Chapter 1 The Seduced Speaker: Modeling of Cognitive Control
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    Chapter 2 Generating Intensional Answers in Intelligent Question Answering Systems
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    Chapter 3 Salience-Driven Text Planning
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    Chapter 4 Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions
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    Chapter 5 Indirect Supervised Learning of Content Selection Logic
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    Chapter 6 Generating Referring Expressions Using Perceptual Groups
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    Chapter 7 The Use of a Structural N-gram Language Model in Generation-Heavy Hybrid Machine Translation
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    Chapter 8 On Referring to Sets of Objects Naturally
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    Chapter 9 An ATMS Approach to Systemic Sentence Generation
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    Chapter 10 A Corpus-Based Methodology for Evaluating Metrics of Coherence for Text Structuring
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    Chapter 11 Classification-Based Generation Using TAG
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    Chapter 12 Resolving Structural Ambiguity in Generated Speech
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    Chapter 13 A Framework for Stylistically Controlled Generation
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    Chapter 14 SEGUE: A Hybrid Case-Based Surface Natural Language Generator
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    Chapter 15 Modelling Politeness in Natural Language Generation
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    Chapter 16 Context-Based Incremental Generation for Dialogue
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    Chapter 17 Contextual Influences on Near-Synonym Choice
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    Chapter 18 Overgenerating Referring Expressions Involving Relations and Booleans
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    Chapter 19 Reining in CCG Chart Realization
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    Chapter 20 Categorization of Narrative Semantics for Use in Generative Multidocument Summarization
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    Chapter 21 Corpus-Based Planning of Deictic Gestures in COMIC
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    Chapter 22 Hybrid NLG in a Generic Dialog System
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    Chapter 23 Two Kinds of Alternative Sets and a Marking Principle – When to Say Also
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Title
Natural Language Generation
Published by
Springer Science & Business Media, June 2004
DOI 10.1007/b98634
ISBNs
978-3-54-022340-5, 978-3-54-027823-8
Editors

Belz, Anja, Evans, Roger, Piwek, Paul

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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