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.

This book provides a critical review of the development of generative grammar, both transformational and non-transformational, from the early 1960s to the present, and presents contemporary results in the context of an overall evaluation of recent research in the field. Geoffrey Horrocks compares Chomsky's approach to the study of grammar, culminating in Government and Binding theory, with two other theories which are deliberate reactions to this framework: Generalised Phrase Structure Grammar and Lexical-Functional Grammar. Whilst proponents of all three models regard themselves as generative grammarians, and share many of the same objectives, the differences between them nevertheless account for much of the recent debate in this subject. By presenting these different theories in the context of the issues that unite and divide them, the book highlights the problems which arise in any attempt to establish an adequate theory of grammatical representation.

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.

This collection of papers takes linguists to the leading edge of techniques in generative lexicon theory, the linguistic composition methodology that arose from the imperative to provide a compositional semantics for the contextual modifications in meaning that emerge in real linguistic usage. Today’s growing shift towards distributed compositional analyses evinces the applicability of GL theory, and the contributions to this volume, presented at three international workshops (GL-2003, GL-2005 and GL-2007) address the relationship between compositionality in language and the mechanisms of selection in grammar that are necessary to maintain this property. The core unresolved issues in compositionality, relating to the interpretation of context and the mechanisms of selection, are treated from varying perspectives within GL theory, including its basic theoretical mechanisms and its analytical viewpoint on linguistic phenomena.

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.

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.

Amidst rapid and fundamental shifts in the economic, geo-political, technological, and societal landscape, this cutting-edge book makes the timeless case that research can be informed by problems in the ‘real world’ and make important contributions to theory and practice.

The goal of this book is twofold. On the one hand we want to offer a discussion of some of the more important properties of the nominal projection, on the other hand we want to provide the reader with tools for syntactic analysis which apply to the structure of DP but which are also relevant for other domains of syntax. In order to achieve this dual goal we will discuss phenomena which are related to the nominal projection in relation to other syntactic phenomena (e.g. pro drop will be related to N-ellipsis, the classification of pronouns will be applied to the syntax of possessive pronouns, N-movement will be compared to V-movement, the syntax of the genitive construction will be related to that of predicate inversion etc.). In the various chapters we will show how recent theoretical proposals (distributed morphology, anti-symmetry, checking theory) can cast light on aspects of the syntax of the NP. When necessary, we will provide a brief introduction of these theoretical proposals. We will also indicate problems with these analyses, whether they be inherent to the theories as such (e.g. what is the trigger for movement in antisymmetric approaches) or to the particular instantiations. The book cannot and will not provide the definitive analysis of the syntax of noun phrases. We consider that this would not be possible, given the current flux in generative syntax, with many new theoretical proposals being developed and explored, but the book aims at giving the reader the tools with which to conduct research and to evaluate proposals in the literature. In the discussion of various issues, we will apply the framework that is most adequate to deal with problems at hand. We will therefore not necessarily use the same approach throughout the discussion. Though proposals in the literature will be referred to when relevant, we cannot attempt to provide a critical survey of the literature. We feel that such a survey would be guided too strongly by theoretical choices, which would not be compatible with the pedagogical purposes this book has. The book is comparative in its approach, and data from different languages will be examined, including English, German, Dutch (West-Flemish), Greek, Romance, Semitic, Slavic, Albanian, Hungarian, Gungbe.

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.