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A modern information retrieval system must have the capability to find, organize and present very different manifestations of information – such as text, pictures, videos or database records – any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.
The present volume covers a variety of topics which are at the centre of interest in pragmatic research: understanding and believing, reference, politeness, communication problems, stylistics, metaphor, and humour. Next to innovative theoretical proposals, there are interesting analyses and discussions.
The collection of papers discusses various applications of Relevance Theory within several areas of pragmatics and discourse analysis. It covers an array of topics, including the treatment of figurative language, pragmatic markers and lexical pragmatics within Relevance Theory. It also discusses relevance-theoretic analyses of special kinds of discourse, such as discourse emerging from the internet or from psychotherapeutic sessions. The volume will primarily interest relevance theorists and scholars working on the subjects addressed by particular chapters.
This volume is one of the first books to present a comprehensive view of lexical pragmatics, describing its origins, assumptions, scope, methodology and the various approaches to it, focusing specifically on the approach offered by relevance theory. In addition to theoretical considerations, the book discusses particular linguistic expressions and pragmatic phenomena, showing how the relevance-theoretic tools may be used to explore pragmatically motivated changes to lexically encoded meanings. The most recent developments are discussed and questions are asked to indicate directions for further research within this rapidly developing field.
This book represents a substantial contribution to the field of linguistics in drawing together the author's most significant work on the theory of generative grammar.
The Handbook of Pragmatics is a collection of newly commissioned articles that provide an authoritative and accessible introduction to the field, including an overview of the foundations of pragmatic theory and a detailed examination of the rich and varied theoretical and empirical subdomains of pragmatics. Contains 32 newly commissioned articles that outline the central themes and challenges for current research in the field of linguistic pragmatics. Provides authoritative and accessible introduction to the field and a detailed examination of the varied theoretical and empirical subdomains of pragmatics. Includes extensive bibliography that serves as a research tool for those working in pragmatics and allied fields in linguistics, philosophy, and cognitive science. Valuable resource for both students and professional researchers investigating the properties of meaning, reference, and context in natural language.
When people speak, their words never fully encode what they mean, and the context is always compatible with a variety of interpretations. How can comprehension ever be achieved? Wilson and Sperber argue that comprehension is a process of inference guided by precise expectations of relevance. What are the relations between the linguistically encoded meanings studied in semantics and the thoughts that humans are capable of entertaining and conveying? How should we analyse literal meaning, approximations, metaphors and ironies? Is the ability to understand speakers' meanings rooted in a more general human ability to understand other minds? How do these abilities interact in evolution and in cognitive development? Meaning and Relevance sets out to answer these and other questions, enriching and updating relevance theory and exploring its implications for linguistics, philosophy, cognitive science and literary studies.
The Linguistics Encyclopedia has been thoroughly revised and updated and a substantial new introduction, which forms a concise history of the field, has been added. The volume offers comprehensive coverage of the major and subsidiary fields of linguistic study. Entries are alphabetically arranged and extensively cross-referenced, and include suggestions for further reading. New entries include: Applied Linguistics; Cognitive Linguistics; Contrastive Linguistics; Cross-Linguistic Study; Forensic Linguistics; Stratificational Linguistics. Recommissioned or substantially revised entries include: Bilingualism and Multilingualism; Discourse; Genre Analysis; Psycholinguistics; Language acquisition; Morphology; Articulatory Phonetics; Grammatical Models and Theories; Stylistics; Sociolinguistics; Critical Discourse Analysis. For anyone with an academic or professional interest in language, The Linguistics Encyclopedia is an indispensable reference tool.
The papers in this volume represent the proceedings of the 7th Industrial Conference on Data Mining. They are organized into topical sections on aspects of classification and prediction, clustering, web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Readers gain new insights into theories underlying data mining and discover state-of-the-technology applications.
During the past twenty-five years, researchers have made impressive advances in pinpointing effective learning strategies (namely, activities the learner engages in during learning that are intended to improve learning). In Learning as a Generative Activity: Eight Learning Strategies that Promote Understanding, Logan Fiorella and Richard E. Mayer share eight evidence-based learning strategies that promote understanding: summarizing, mapping, drawing, imagining, self-testing, self-explaining, teaching, and enacting. Each chapter describes and exemplifies a learning strategy, examines the underlying cognitive theory, evaluates strategy effectiveness by analyzing the latest research, pinpoints boundary conditions, and explores practical implications and future directions. Each learning strategy targets generative learning, in which learners actively make sense out of the material so they can apply their learning to new situations. This concise, accessible introduction to learning strategies will benefit students, researchers, and practitioners in educational psychology, as well as general readers interested in the important twenty-first-century skill of regulating one's own learning.