The Resource Computational models of referring : a study in cognitive science, Kees van Deemter

Computational models of referring : a study in cognitive science, Kees van Deemter

Label
Computational models of referring : a study in cognitive science
Title
Computational models of referring
Title remainder
a study in cognitive science
Statement of responsibility
Kees van Deemter
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
"To communicate, speakers need to make it clear what they are talking about. The act of referring, which anchors words to things, is a fundamental aspect of language. In this book, Kees van Deemter shows that computational models of reference offer attractive tools for capturing the complexity of referring. Indeed, the models van Deemter presents cover many issues beyond the basic idea of referring to an object, including reference to sets, approximate descriptions, descriptions produced under uncertainty concerning the hearer's knowledge, and descriptions that aim to inform or influence the hearer. The book, which can be read as a case study in cognitive science, draws on perspectives from across the cognitive sciences, including philosophy, experimental psychology, formal logic, and computer science. Van Deemter advocates a combination of computational modeling and careful experimentation as the preferred method for expanding these insights. He then shows this method in action, covering a range of algorithms and a variety of methods for testing them. He shows that the method allows us to model logically complicated referring expressions, and demonstrates how we can gain an understanding of reference in situations where the speaker's knowledge is difficult to assess or where the referent resists exact definition. Finally, he proposes a program of research that addresses the open questions that remain in this area, arguing that this program can significantly enhance our understanding of human communication"--MIT CogNet
Cataloging source
N$T
http://library.link/vocab/creatorName
Deemter, Kees van
Index
index present
LC call number
P325.5.R44
LC item number
D43 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
MIT CogNet
http://library.link/vocab/subjectName
  • Reference (Linguistics)
  • Presupposition (Logic)
  • Computational linguistics
  • Computational linguistics
  • Presupposition (Logic)
  • Reference (Linguistics)
  • LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative
Label
Computational models of referring : a study in cognitive science, Kees van Deemter
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Second extension : referring to sets
  • Third extension : using gradable properties
  • Fourth extension : exploiting modern knowledge representation
  • The question of referability
  • First challenge : large domains
  • Second challenege : breakdown of common knowledge
  • Third challenge : approximate reference
  • Fourth challenge : going beyond indentification
  • Epilogue
  • Preface
  • Aims and scope of this book
  • Theories of reference
  • They psychology of reference production
  • Getting computers to refer
  • Testing REG algorithms : the TUNA experiment
  • Probabilistic and other alternatives to teh classic REG algorithms
  • First extension : using proper names
Dimensions
unknown
Extent
1 online resource (x, 339 pages)
Form of item
online
Isbn
9780262335324
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote
System control number
  • (OCoLC)949885446
  • (OCoLC)ocn949885446
Label
Computational models of referring : a study in cognitive science, Kees van Deemter
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Second extension : referring to sets
  • Third extension : using gradable properties
  • Fourth extension : exploiting modern knowledge representation
  • The question of referability
  • First challenge : large domains
  • Second challenege : breakdown of common knowledge
  • Third challenge : approximate reference
  • Fourth challenge : going beyond indentification
  • Epilogue
  • Preface
  • Aims and scope of this book
  • Theories of reference
  • They psychology of reference production
  • Getting computers to refer
  • Testing REG algorithms : the TUNA experiment
  • Probabilistic and other alternatives to teh classic REG algorithms
  • First extension : using proper names
Dimensions
unknown
Extent
1 online resource (x, 339 pages)
Form of item
online
Isbn
9780262335324
Media category
computer
Media MARC source
rdamedia
Media type code
c
Specific material designation
remote
System control number
  • (OCoLC)949885446
  • (OCoLC)ocn949885446

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