Annotation-based semantics for space and time in language / Kiyong Lee, Korea University ; with foreword by James Pustejovsky, Brandeis University.

Format:

Book

Author/Creator:

Lee, Kiyong, author.

Contributor:

Pustejovsky, J. (James), writer of foreword.

Series:

Studies in natural language processing

Language:

English

Subjects (All):

Semantics--Data processing.

Semantics.

Space and time in language.

Computational linguistics.

Physical Description:

1 online resource (xxv, 467 pages) : digital, PDF file(s).

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.

Summary:

Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic semantics for temporal or spatial information in natural language, based on annotation structures. The book covers the entire cycle of developing a specification for annotation and the implementation of the model over the appropriate corpus for linguistic annotation. Its representation language is a type-theoretic, first-order logic in shallow semantics. Each interpretation model is delimited by a set of definitions of logical predicates used in semantic representations (e.g., past) or measuring expressions (e.g., counts or k). The counting function is then defined as a set and its cardinality, involving a universal quantification in a model. This definition then delineates a set of admissible models for interpretation.

Notes:

Title from publisher's bibliographic system (viewed on 07 Aug 2023).

Other Format:

Print version:

ISBN:

9781108884532 (ebook)

Access Restriction:

Restricted for use by site license.