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

Format:

Book

Author/Creator:

Deemter, Kees van, author.

Language:

English

Subjects (All):

Reference (Linguistics).

Presupposition (Logic).

Computational linguistics.

Physical Description:

1 online resource (x, 339 pages)

Other Title:

MIT Press CogNet.

Place of Publication:

Cambridge, Massachusetts : The MIT Press, [2016]

System Details:

text file

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.

Contents:

First part : Setting the stage

Aims and scope of this book

Theories of reference

They psychology of reference production

Second part : solving the classic REG problem

Getting computers to refer

Testing REG algorithms : the TUNA experiment

Probabilistic and other alternatives to teh classic REG algorithms

Third part : Generating a wider class of RES

First extension : using proper names

Second extension : referring to sets

Third extension : using gradable properties

Fourth extension : exploiting modern knowledge representation

The question of referability

Fourth part : generalizing reference generation

First challenge : large domains

Second challenege : breakdown of common knowledge

Third challenge : approximate reference

Fourth challenge : going beyond indentification

Epilogue.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Deemter, Kees van. Computational models of referring.

ISBN:

9780262335324

0262335328

Access Restriction:

Restricted for use by site license.