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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 The Semantic Information In An Utterance
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    Chapter 2 Justified Sloppiness In Anaphoric Reference
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    Chapter 3 Deriving Quasi-Logical Forms From F-Structures For The Penn Treebank
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    Chapter 4 Semantic Underspecification: Which Technique For What Purpose?
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    Chapter 5 Segmented Discourse Representation Theory: Dynamic Semantics With Discourse Structure
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    Chapter 6 Shards: Fragment Resolution In Dialogue
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    Chapter 7 Interpreting Concession Statements In Light Of Information Structure
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    Chapter 8 Context and The Composition Of Meaning
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    Chapter 9 Meaning, Intonation And Negation
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    Chapter 10 Customizing Meaning: Building Domain-Specific Semantic Representations From A Generic Lexicon
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    Chapter 11 Flexible Composition In Ltag: Quantifier Scope and Inverse Linking
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    Chapter 12 Serious Computing With Tense
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    Chapter 13 Temporal and Event Information In Natural Language Text
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    Chapter 14 Finite-State Descriptions For Temporal Semantics
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    Chapter 15 Generating Bridging Definite Descriptions
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    Chapter 16 Graphs and Booleans: on the Generation of Referring Expressions
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    Chapter 17 Efficient Computation of Overlay for Multiple Inheritance Hierarchies in Discourse Modeling
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    Chapter 18 Linear Logic Based Transfer And Structural Misalignment
Overall attention for this book and its chapters
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Mentioned by

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9 Wikipedia pages

Citations

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7 Dimensions

Readers on

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44 Mendeley
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Title
Computing Meaning
Published by
Springer Netherlands, October 2007
DOI 10.1007/978-1-4020-5958-2
ISBNs
978-1-4020-5957-5, 978-1-4020-5958-2
Editors

Bunt, Harry, Muskens, Reinhard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 5%
United States 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 27%
Student > Ph. D. Student 9 20%
Professor 7 16%
Lecturer 5 11%
Researcher 3 7%
Other 8 18%
Readers by discipline Count As %
Linguistics 21 48%
Computer Science 15 34%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Philosophy 1 2%
Other 3 7%
Unknown 2 5%