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Metasemantics comprises new work on the philosophical foundations of linguistic semantics, by a diverse group of established and emerging experts in the philosophy of language, metaphysics, and the theory of content. The science of semantics aspires to systematically specify the meanings of linguistic expressions in context. The paradigmatic metasemantic question is accordingly: what more basic or fundamental features of the world metaphysically determine these semantic facts? Efforts to answer this question inevitably raise others. Where are the boundaries of semantics? What is the essence of the meaning relation? Which framework should we use for semantic theorizing? What are the intrinsic natures of semantic values? Are the semantic facts metaphysically determinate? What is semantic competence? Metasemantic inquiry has long been recognized as a central part of the philosophy of language, but recent developments in metaphysics and semantics itself now allow us to approach these classic questions with an unprecedented degree of precision. The essays collected here provide promising new perspectives on old problems, pose questions that suggest novel research projects, and taken together, greatly sharpen our understanding of linguistic representation.
This book gathers the state-of-the-art for industrial application of scientific and practical research in the Cloud and IoT paradigms to benefit society. The book first aims to discuss and outline various aspects of tackling climate change. The authors then discuss how Cloud and IoT can help for digital health and learning from industrial aspects. The next part of book discusses technical improvements in the fields of security and privacy. The book also covers Smart Homes and IoT in agriculture. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit common masses.
Repetitive sequences play a major role as a pattern-building device and are a basic syntagmatic linguistic means on all language levels in spoken and signed languages. Little attention has been paid to investigating them in multimodal language use. Do gestures exhibit different types of repetitive sequences? Do they build complex units based on these types and if so, how is the pattern building to be described? How is the interrelation of gestural and spoken units in such complex units? Is it possible to identify repetitive patterns that are comparable to spoken and signed languages and/or patterns specific to the gestural modality? Based on a corpus-analysis of multimodal usage-events, 7 chapters explore gestural repetitions with regard to their structure, semantic and syntactic relevance for multimodal utterances, and cognitive saliency. Fine-grained cognitive-linguistic analyses of multimodal usage events reveal that gestural repetitions are not only a basic principle of building patterns in spoken and signed languages, but also in gestures. By addressing questions of mediality and multimodality of language-in-use, the book contributes to the investigation of repetition as a fundamental means of sign and meaning construction (crosscutting modalities) and enhances the understanding of the multimodal character of language in use.
This volume offers an in-depth analysis of the social phenomenon of migration from various legal-linguistic perspectives. Migration has become a global phenomenon and a burning issue provoking social conflict and political instability in modern societies all over the world. The question of dealing with migrants and asylum seekers has dominated political discourse. It has given rise to national and international legislation on emigration and immigration, some of them including discriminatory provisions, pressed laws against immigration (Acts of exclusion) and prompted anti-migration rhetoric and hate speech against migrants. Important efforts have been made in both common law and civil law jurisdictions to protect migrants' fundamental rights to dignity and equality.
Alignment in Communication is a novel direction in communication research, which focuses on interactive adaptation processes assumed to be more or less automatic in humans. It offers an alternative to established theories of human communication and also has important implications for human-machine interaction. A collection of articles by international researchers in linguistics, psychology, artificial intelligence, and social robotics, this book provides evidence on why such alignment occurs and the role it plays in communication. Complemented by a discussion of methodologies and explanatory frameworks from dialogue theory, it presents cornerstones of an emerging new theory of communication. The ultimate purpose is to extend our knowledge about human communication, as well as creating a foundation for natural multimodal dialogue in human-machine interaction. Its cross-disciplinary nature makes the book a useful reference for cognitive scientists, linguists, psychologists, and language philosophers, as well as engineers developing conversational agents and social robots.
Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism).
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.
This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.
The sheer quantity of widely diverse data which now results from multiple sources presents a problem for decision-makers and analysts, who are finding it impossible to cope with the ever-increasing flow of material. This has potentially serious consequences for the quality of decisions and operational processes in areas such as counterterrorism and security. This book presents the papers delivered at the NATO Advanced Research Workshop (ARW) 'Meeting Security Challenges through Data Analytics and Decision Support’, held in Aghveran, Armenia, in June 2015. The aim of the conference was to promote and enhance cooperation and dialogue between NATO and Partner countries on the subject of effective decision support for security applications. The attendance of many leading scientists from a variety of backgrounds and disciplines provided the opportunity to improve mutual understanding, as well as cognizance of the specific requirements and issues of Cyber Physical Social Systems (CPPS) and the technical advances pertinent to all collaborative human-centric information support systems in a variety of applications. The book is divided into 3 sections: counter terrorism: methodology and applications; maritime and border security; and cyber security, and will be of interest to all those involved in decision-making processes based on the analysis of big data.