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A Theory of Ellipsis
Ellipsis is the non-expression of one or more sentence elements whose meaning can be reconstructed either from the context or from a person's knowledge of the world. In speech and writing, ellipsis is pervasive, contributing in various ways to the economy, speed, and style of communication. Resolving ellipsis is a particularly challenging issue in natural language processing, since not only must meaning be gleaned from missing elements but the fact that something meaningful is missing must be detected in the first place. Marjorie McShane presents a comprehensive theory of ellipsis that supports the formal, cross-linguistic description of elliptical phenomena taking into account the various f...
Linguistics for the Age of AI
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
A Theory of Ellipsis
This book presents a comprehensive theory of ellipsis that supports the formal, cross-linguistic description of elliptical phenomena. In contrast to earlier work, this study focuses on the interconnected factors that determine whether ellipsis should or should not be used in a given context.
Linguistics for the Age of AI
"An explantion of a knowledge-based system for creating computational agents with human-like language ability"--
A Theory of Ellipsis
This book presents a comprehensive theory of ellipsis that supports the formal, cross-lingusitic description of elliptical phenomena.
Agents in the Long Game of AI
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on machine learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development...
Null Subjects in Generative Grammar
This book considers the null-subject phenomenon, whereby some languages lack an overtly realized referential subject in specific contexts. It explores novel empirical data and new theoretical analyses covering the major approaches to null subjects in generative grammar, and examines a wide range of languages from different families.
The Oxford Handbook of Cognitive Science
The Oxford Handbook of Cognitive Science emphasizes the research and theory most central to modern cognitive science: computational theories of complex human cognition. Additional facets of cognitive science are discussed in the handbook's introductory chapter.
