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Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018) / edited by Roussanka Loukanova

Contributor(s): Loukanova, Roussanka, editor
Series: (Studies in Computational Intelligence, 1860-949X; 860); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing, 2020Edition: First edition.Description: 1 recurso en línea (IX, 205 páginas) : 110 ilustraciones, 11 ilustraciones a color.ISBN: 9783030300777.Subject: Lingüística computacional | Proceso en lenguaje natural (Informática)Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Proof Irrelevance in Type-Theoretical Semantics -- Saving Hamlet Ellipsis -- Temporal Representations with and without Points -- From Tree Adjoining Grammars to Higher Order Representations of Abstract Meaning Representations via Abstract Categorial Grammars -- Measuring Linguistic Complexity: Introducing a New Categorial Metric -- On Categorial Grammatical Inference and Logical Information Systems -- A Scope-Taking System with Dependent Types and Continuations -- On the Coevolution of Language and Cognition - Gricean Intentions Meet Lewisian Conventions.
Abstract: This book focuses mainly on logical approaches to computational linguistics, but also discusses integrations with other approaches, presenting both classic and newly emerging theories and applications.Decades of research on theoretical work and practical applications have demonstrated that computational linguistics is a distinctively interdisciplinary area. There is convincing evidence that computational approaches to linguistics can benefit from research on the nature of human language, including from the perspective of its evolution. This book addresses various topics in computational theories of human language, covering grammar, syntax, and semantics. The common thread running through the research presented is the role of computer science, mathematical logic and other subjects of mathematics in computational linguistics and natural language processing (NLP). Promoting intelligent approaches to artificial intelligence (AI) and NLP, the book is intended for researchers and graduate students in the field.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales P98 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook07112070
Total holds: 0

Proof Irrelevance in Type-Theoretical Semantics -- Saving Hamlet Ellipsis -- Temporal Representations with and without Points -- From Tree Adjoining Grammars to Higher Order Representations of Abstract Meaning Representations via Abstract Categorial Grammars -- Measuring Linguistic Complexity: Introducing a New Categorial Metric -- On Categorial Grammatical Inference and Logical Information Systems -- A Scope-Taking System with Dependent Types and Continuations -- On the Coevolution of Language and Cognition - Gricean Intentions Meet Lewisian Conventions.

This book focuses mainly on logical approaches to computational linguistics, but also discusses integrations with other approaches, presenting both classic and newly emerging theories and applications.Decades of research on theoretical work and practical applications have demonstrated that computational linguistics is a distinctively interdisciplinary area. There is convincing evidence that computational approaches to linguistics can benefit from research on the nature of human language, including from the perspective of its evolution. This book addresses various topics in computational theories of human language, covering grammar, syntax, and semantics. The common thread running through the research presented is the role of computer science, mathematical logic and other subjects of mathematics in computational linguistics and natural language processing (NLP). Promoting intelligent approaches to artificial intelligence (AI) and NLP, the book is intended for researchers and graduate students in the field.

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