The interpretation of anaphora - how we interpret expressions such as definite pronouns (he, she, it) and verbal elliptical phrases (such as "did so, too") in the course of ordinary conversation or reading - is an important aspect of language comprehension. In this book the author examines the research and evidence on anaphor interpretation within the context of the mental models theory of comprehension, arguing that the notion of a mental model is essential to the detailed description of the processes of anaphor resolution. The general philosophy of the mental models approach and the nature of mental models themselves and their role in language processing is discussed, followed by a review of methodological issues that bear on the interpretation of psychological research findings. Against this background, the author's own research on areas such as deep and surface anaphora, reference into anaphoric islands, the role of implicit causality in anaphor resolution and the use of pronouns to refer to characters introduced by stereotyped role names is presented. At all times the author's research is set within the context of the general literature on anaphor resolution derived from the disciplines of linguistics, psycholinguistics, philosophy and computational linguistics, ensuring that the book will be of interest to advanced students and researchers in these fields.

What is text understanding? It is the dynamic process of constructing coherent representations and inferences at multiple levels of text and context, within the bottleneck of a limited-capacity working memory. The field of text and discourse has advanced to the point where researchers have developed sophisticated models of comprehension, and identified the particular assumptions that underlie comprehension mechanisms in precise analytical or mathematical detail. The models offer a priori predictions about thought and behavior, not merely ad hoc descriptions of data. Indeed, the field has evolved to a mature science. The contributors to this volume collectively cover the major models of comprehension in the field of text and discourse. Other books are either narrow -- covering only a single theoretical framework -- or do not focus on systematic modeling efforts. In addition, this book focuses on deep levels of understanding rather than language codes, syntax, and other shallower levels of text analysis. As such, it provides readers with up-to-date information on current psychological models specified in quantitative or analytical detail.

This book constitutes revised selected papers of the 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, held in Lagos, Portugal in March 2007. The 13 revised full papers are organized in topical sections on human processing and performance, language analysis and representation, resolution methodology and algorithms, as well as computational systems and applications.

The ability to produce and understand referring expressions is basic to human language use and human cognition. Reference comprises the ability to think of and represent objects (both real and imagined/fictional), to indicate to others which of these objects we are talking about, and to determine what others are talking about when they use a nominal expression. The articles in this volume are concerned with some of the central themes and challenges in research on reference within the cognitive sciences - philosophy (including philosophy of language and mind, logic, and formal semantics), theoretical and computational linguistics, and cognitive psychology. The papers address four basic questions: What is reference? What is the appropriate analysis of different referring forms, such as definite descriptions? How is reference resolved? and How do speaker/writers select appropriate referring forms, such as pronouns vs. full noun phrases, demonstrative vs. personal pronouns, and overt vs. null/zero pronominal forms? Some of the papers assume and build on existing theories, such as Centering Theory and the Givenness Hierarchy framework; others propose their own models of reference understanding or production. The essays examine reference from a number of disciplinary and interdisciplinary perspectives, informed by different research traditions and employing different methodologies. While the contributors to the volume were primarily trained in one of the four represented disciplines-computer science, linguistics, philosophy and psychology, and use methodologies typical of that discipline, each of them bridges more than one discipline in their methodology and/or their approach.

This volume features the complete text of the material presented at the Twenty-Fourth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. The volume includes all papers, posters, and summaries of symposia presented at this leading conference that brings cognitive scientists together. The 2002 meeting dealt with issues of representing and modeling cognitive processes as they appeal to scholars in all subdisciplines that comprise cognitive science: psychology, computer science, neuroscience, linguistics, and philosophy.

Language and memory have historically been studied apart, as unique cognitive abilities, and with distinct research traditions and methods. Over the past several decades, however, a growing body of evidence suggests that language and memory are heavily intertwined and may even rely on shared cognitive and neural mechanisms. Cutting across theoretical and methodological approaches, these findings offer novel insights into the interactions and interdependencies of language and memory. These advances also have considerable theoretical and clinical implications for the neurobiology of language and memory, their development, representation, and maintenance across the lifespan, the intervention and rehabilitation of disorders of language and memory, and the evolution of these two quintessential human abilities.

"This was a different man," said Mr Welbecker. "Listen! This man was called Hamlet and his uncle had killed his father because he wanted to marry his mother.""What did he want to marry his mother for?" said William. "I've never heard of anyone wanting to marry their mother."*In almost any conversation the meaning of what is said depends on the listener seeing how some words refer to what has already been said, and that others must be related to the characteristics of time, place, or person of the situation around which the conversation revolves. These modes ofreference, anaphora and deixis respectively, involve surprisingly complicated cognitive and syntactic processes, which people (normally) perform easily and unerringly. But they present formidable problems for the linguist and cognitive scientist trying to explain precisely how comprehension isachieved. Anaphora and deixis are thus a central research focus in syntactic theory, while understanding and modelling their operation in discourse are important targets in computational linguistics and cognitive science. In this ambitious work, Francis Cornish sets out an original theory ofanaphora and deixis, and proposes a new and elegant theoretical model to represent the transfer of meaning in discourse.Dr Cornish considers anaphoric reference in discourse from both psychological and linguistic perspectives. He argues that anaphora and deixis are essentially parts of integrative discourse procedures that facilitate the linking of representations held in working memory. He brings together work bylinguists, formal semanticists, psychologists, and researchers in artificial intelligence, as well as drawing on his own extensive experimental work on a variety of corpora of different genres in French and English.Anaphora, Discourse, and Understanding will interest researchers and advanced students in a variety of fields within and outside linguistics, including cognitive science, artificial intelligence, syntactic theory, formal semantics, and the analysis of discourse.[* from William - The Pirate by Richmal Crompton, London, Macmillan, 1932]

This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.

At present there exists no empirically-motivated theory of how perceivers assign a grammatically-permissible interpretation to a sentence. Implicit in many investigations of language comprehension is the idea that each constituent of a sentence is interpreted by the perceiver at the earliest conceivable point, using all potentially relevant sources of information. A variety of counter examples are presented to argue against this implicit theory of sentence interpretation. It is argued that an explicit alternative theory is needed to specify which decisions are made at which points during interpretive processing and to spell out the principles governing the processor's preferred choice at points of ambiguity or uncertainty. Several specific issues are taken concerning how the processor assigns a focal structure to an input sentence, how it identifies the topic of the sentence, how implicit restrictors on the domain of quantification are interpreted and how the identification of the content of a restrictor may guide the processor's use of discourse information. Exploiting intuitions about preferred interpretations of ambiguous sentences as well as the results of both old and new experimental studies, a theory of the preferred interpretation of Determiner Phrases is presented. This work explores important, but overlooked questions in on-line sentence interpretation and attempts to erect some of the scaffolding for an eventual theory of sentence interpretation.

The interrelated topics of discourse representation and text processing between them comprise a substantial part of comtemporary psycholinguistics, not to mention the related disciplines in which they are studied. The papers that follow are by no means intended to give an overview of this cast research field. Rather, they present some of the most recent research on selected problems within it. Our own prediction is to study discourse representation and text processing from the perspective of mental models theory (Garnham, 1987; Johnson-Laird, 1983). The mental models theory.