Computational models of referring: a study in cognitive science
"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...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, Massachusetts, London, England
The MIT Press
[2016]
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Schlagworte: | |
Online-Zugang: | FHI01 UBT01 Volltext |
Zusammenfassung: | "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 |
Beschreibung: | 1 Online-Ressource (x, 333 Seiten) |
ISBN: | 9780262335324 9780262335317 |
Internformat
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520 | |a "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 | ||
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Deemter, Kees van |
author_facet | Deemter, Kees van |
author_role | aut |
author_sort | Deemter, Kees van |
author_variant | k v d kv kvd |
building | Verbundindex |
bvnumber | BV045351588 |
classification_rvk | ST 306 |
collection | ZDB-4-ITC ebook ZDB-37-IEM ZDB-4-NLEBK |
ctrlnum | (ZDB-4-ITC)ocn949885446 (OCoLC)949885446 (DE-599)BVBBV045351588 |
dewey-full | 410.1/835 |
dewey-hundreds | 400 - Language |
dewey-ones | 410 - Linguistics |
dewey-raw | 410.1/835 |
dewey-search | 410.1/835 |
dewey-sort | 3410.1 3835 |
dewey-tens | 410 - Linguistics |
discipline | Sprachwissenschaft Informatik |
format | Electronic eBook |
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id | DE-604.BV045351588 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:15:43Z |
institution | BVB |
isbn | 9780262335324 9780262335317 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030738242 |
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owner_facet | DE-573 DE-703 |
physical | 1 Online-Ressource (x, 333 Seiten) |
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publishDate | 2016 |
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publisher | The MIT Press |
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spelling | Deemter, Kees van Verfasser aut Computational models of referring a study in cognitive science Kees van Deemter Cambridge, Massachusetts, London, England The MIT Press [2016] 2016 1 Online-Ressource (x, 333 Seiten) txt rdacontent c rdamedia cr rdacarrier "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 LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Presupposition (Logic) fast Reference (Linguistics) fast Reference (Linguistics) Presupposition (Logic) Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Referenz Linguistik (DE-588)4137933-0 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Sprachdaten (DE-588)4312652-2 gnd rswk-swf Sprachdaten (DE-588)4312652-2 s Computerlinguistik (DE-588)4035843-4 s DE-604 Computersimulation (DE-588)4148259-1 s Referenz Linguistik (DE-588)4137933-0 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-0-262-03455-5 Deemter, Kees van Computational models of referring Cambridge, MA : The MIT Press, [2016] https://ieeexplore.ieee.org/document/7862635 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Deemter, Kees van Computational models of referring a study in cognitive science LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Presupposition (Logic) fast Reference (Linguistics) fast Reference (Linguistics) Presupposition (Logic) Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd Referenz Linguistik (DE-588)4137933-0 gnd Computersimulation (DE-588)4148259-1 gnd Sprachdaten (DE-588)4312652-2 gnd |
subject_GND | (DE-588)4035843-4 (DE-588)4137933-0 (DE-588)4148259-1 (DE-588)4312652-2 |
title | Computational models of referring a study in cognitive science |
title_auth | Computational models of referring a study in cognitive science |
title_exact_search | Computational models of referring a study in cognitive science |
title_full | Computational models of referring a study in cognitive science Kees van Deemter |
title_fullStr | Computational models of referring a study in cognitive science Kees van Deemter |
title_full_unstemmed | Computational models of referring a study in cognitive science Kees van Deemter |
title_short | Computational models of referring |
title_sort | computational models of referring a study in cognitive science |
title_sub | a study in cognitive science |
topic | LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative bisacsh Presupposition (Logic) fast Reference (Linguistics) fast Reference (Linguistics) Presupposition (Logic) Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd Referenz Linguistik (DE-588)4137933-0 gnd Computersimulation (DE-588)4148259-1 gnd Sprachdaten (DE-588)4312652-2 gnd |
topic_facet | LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative Presupposition (Logic) Reference (Linguistics) Reference (Linguistics) Presupposition (Logic) Computational linguistics Computerlinguistik Referenz Linguistik Computersimulation Sprachdaten |
url | https://ieeexplore.ieee.org/document/7862635 |
work_keys_str_mv | AT deemterkeesvan computationalmodelsofreferringastudyincognitivescience |