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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which th...
The second edition of The Handbook of Contemporary Semantic Theory presents a comprehensive introduction to cutting-edge research in contemporary theoretical and computational semantics. Features completely new content from the first edition of The Handbook of Contemporary Semantic Theory Features contributions by leading semanticists, who introduce core areas of contemporary semantic research, while discussing current research Suitable for graduate students for courses in semantic theory and for advanced researchers as an introduction to current theoretical work
This unique contribution to the ongoing discussion of language acquisition considers the Argument from the Poverty of the Stimulus in language learning in the context of the wider debate over cognitive, computational, and linguistic issues. Critically examines the Argument from the Poverty of the Stimulus - the theory that the linguistic input which children receive is insufficient to explain the rich and rapid development of their knowledge of their first language(s) through general learning mechanisms Focuses on formal learnability properties of the class of natural languages, considered from the perspective of several learning theoretic models The only current book length study of arguments for the poverty of the stimulus which focuses on the computational learning theoretic aspects of the problem
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Dating back millennia, antisemitism has been called "the longest hatred." Thought to be vanquished after the horrors of the Holocaust, in recent decades it has once again become a disturbing presence in many parts of the world. Resurgent Antisemitism presents original research that elucidates the social, intellectual, and ideological roots of the "new" antisemitism and the place it has come to occupy in the public sphere. By exploring the sources, goals, and consequences of today's antisemitism and its relationship to the past, the book contributes to an understanding of this phenomenon that may help diminish its appeal and mitigate its more harmful effects.
This book explores the interaction of grammar and context in human communication. Lutz Marten focuses on verbs and verb phrases: he examines the relationship between language rules and linguistic behaviour, seeking to distinguish between language-specific syntactic knowledge and the general reasoning people need to understand and to make themselves understood. He considers how the component elements of linguistic theory explain what appear to be simple utterances but whose structure is hard to analyse - how, for example, 'Fran is baking Mary a cake in the oven' is different from 'Fran is baking Mary a cake in the kitchen'. The author's account of the interactions of syntax, semantics, and pragmatics is based on extensive observation among contrasting cultures and a variety of languages. He makes important contributions to understanding in all three areas. His book will appeal to linguistic theoreticians of all persuasions.
This book provides a systematic study of three foundational issues in the semantics of natural language that have been relatively neglected in the past few decades. focuses on the formal characterization of intensions, the nature of an adequate type system for natural language semantics, and the formal power of the semantic representation language proposes a theory that offers a promising framework for developing a computational semantic system sufficiently expressive to capture the properties of natural language meaning while remaining computationally tractable written by two leading researchers and of interest to students and researchers in formal semantics, computational linguistics, logic, artificial intelligence, and the philosophy of language
This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Processing". A wide range of topics is covered in the volume: semantics, dialog, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various 'state-of-the-art' techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG). This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
Michael V. Fox, long-time professor in the Dept. of Hebrew and Semitic Studies at the University of Wisconsin--Madison, is known both for his scholarship and his teaching. As the editors of this volume in his honor note, the care and sensitivity of his reading of the Hebrew text are well known, and he lavishes equal attention on his own writing, to the benefit of all who read his work, which now includes the first of two volumes in the Anchor Bible commentary on Proverbs (the next volume is in preparation), as well as monographs on wisdom literature in ancient Israel and elsewhere, and many articles. The rigor that he brought to his own work he also inflicted on his students, and they and a ...