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Computing Meaning

Overview of attention for book
Cover of 'Computing Meaning'

Table of Contents

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    Book Overview
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    Chapter 1 Computing Meaning: Annotation, Representation, and Inference
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    Chapter 2 Deterministic Statistical Mapping of Sentences to Underspecified Semantics
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    Chapter 3 A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics
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    Chapter 4 Annotations that Effectively Contribute to Semantic Interpretation
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    Chapter 5 Computing Meaning
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    Chapter 6 Recognizing Textual Entailment and Computational Semantics
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    Chapter 7 Abductive Reasoning with a Large Knowledge Base for Discourse Processing
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    Chapter 8 Natural Logic and Natural Language Inference
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    Chapter 9 Designing Efficient Controlled Languages for Ontologies
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    Chapter 10 A Context-Change Semantics for Dialogue Acts
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    Chapter 11 VerbNet Class Assignment as a WSD Task
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    Chapter 12 Annotation of Compositional Operations with GLML
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    Chapter 13 Incremental Recognition and Prediction of Dialogue Acts
Attention for Chapter 1: Computing Meaning: Annotation, Representation, and Inference
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