Download or read book Instantiating Thematic Roles with a Recurrent Neural Network written by Frank James Eisenhart and published by . This book was released on 1993 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Neural Architecture of Grammar written by Stephen E. Nadeau and published by MIT Press. This book was released on 2012-02-03 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, neurally based theory of language function that draws on principles of neuroanatomy, cognitive psychology, cognitive neuropsychology, psycholinguistics, and parallel distributed processing. Linguists have mapped the topography of language behavior in many languages in intricate detail. To understand how the brain supports language function, however, we must take into account the principles and regularities of neural function. Mechanisms of neurolinguistic function cannot be inferred solely from observations of normal and impaired language. In The Neural Architecture of Grammar, Stephen Nadeau develops a neurologically plausible theory of grammatic function. He brings together principles of neuroanatomy, neurophysiology, and parallel distributed processing and draws on literature on language function from cognitive psychology, cognitive neuropsychology, psycholinguistics, and functional imaging to develop a comprehensive neurally based theory of language function. Nadeau reviews the aphasia literature, including cross-linguistic aphasia research, to test the model's ability to account for the findings of these empirical studies. Nadeau finds that the model readily accounts for a crucial finding in cross-linguistic studies—that the most powerful determinant of patterns of language breakdown in aphasia is the predisorder language spoken by the subject—and that it does so by conceptualizing grammatic function in terms of the statistical regularities of particular languages that are encoded in network connectivity. He shows that the model provides a surprisingly good account for many findings and offers solutions for a number of controversial problems. Moreover, aphasia studies provide the basis for elaborating the model in interesting and important ways.
Download or read book Proceedings of the 1993 Connectionist Models Summer School written by Michael C. Mozer and published by Psychology Press. This book was released on 2014-03-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.
Download or read book Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society written by Cognitive Science Society (US) Conference and published by Psychology Press. This book was released on 2014-05-12 with total page 1212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 14th annual meeting of the Cognitive Science Society.
Download or read book The Cambridge Handbook of Computational Cognitive Sciences written by Ron Sun and published by Cambridge University Press. This book was released on 2023-04-30 with total page 1804 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.
Download or read book Hybrid Connectionist Natural Language Processing written by Stefan Wermter and published by . This book was released on 1995 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Routledge Handbook of Communication Disorders written by Ruth H. Bahr and published by Routledge. This book was released on 2015-04-24 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of Communication Disorders provides an update on key issues and research in the clinical application of the speech, language and hearing sciences in both children and adults. Focusing on areas of cutting-edge research, this handbook showcases what we know about communication disorders, and their assessment and treatment. It emphasizes the application of theory to clinical practice throughout, and is arranged by the four key bases of communication impairments: Neural/Genetic Bases Perceptual-Motor Bases Cognitive-Linguistic Bases Socio-Cultural Bases. The handbook ends with an integrative section, which looks at innovative ways of working across domains to arrive at novel assessment and treatment ideas. It is an important reference work for researchers, students and practitioners working in communication science and speech and language therapy.
Download or read book The Oscillatory Nature of Language written by Elliot Murphy and published by Cambridge University Press. This book was released on 2020-11-05 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops a theory of how language is processed in the brain and provides a state-of-the-art review of current neuroscientific debates.
Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Download or read book Speech Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Download or read book Learning Deep Learning written by Magnus Ekman and published by Addison-Wesley Professional. This book was released on 2021-07-19 with total page 1105 pages. Available in PDF, EPUB and Kindle. Book excerpt: NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Download or read book Constructions of Time and History in the Pre Columbian Andes written by Edward Swenson and published by University Press of Colorado. This book was released on 2018-03-15 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constructions of Time and History in the Pre-Columbian Andes explores archaeological approaches to temporalities, social memory, and constructions of history in the pre-Columbian Andes. The authors examine a range of indigenous temporal experiences and ideologies, including astronomical, cyclical, generational, eschatological, and mythical time. This nuanced, interdisciplinary volume challenges outmoded anthropological theories while building on an emic perspective to gain greater understanding of pre-Columbian Andean cultures. Contributors to the volume rethink the dichotomy of past and present by understanding history as indigenous Andeans perceived it—recognizing the past as a palpable and living presence. We live in history, not apart from it. Within this framework time can be understood as a current rather than as distinct points, moments, periods, or horizons. The Andes offer a rich context by which to evaluate recent philosophical explorations of space and time. Using the varied materializations and ritual emplacements of time in a diverse sampling of landscapes, Constructions of Time and History in the Pre-Columbian Andes serves as a critique of archaeology’s continued and exclusive dependence on linear chronologies that obscure historically specific temporal practices and beliefs. Contributors: Tamara L. Bray, Zachary J. Chase, María José Culquichicón-Venegas, Terence D’Altroy, Giles Spence Morrow, Matthew Sayre, Francisco Seoane, Darryl Wilkinson
Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Download or read book Resource Adaptive Cognitive Processes written by Matthew W. Crocker and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Beginning Deep Learning with TensorFlow written by Liangqu Long and published by Apress. This book was released on 2022-03-07 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. You’ll start with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! What You'll Learn Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For Students, programmers, and researchers with no experience in deep learning who want to build up their basic skillsets. Experienced machine learning programmers and engineers might also find value in updating their skills.
Download or read book The Grammar Network written by Holger Diessel and published by Cambridge University Press. This book was released on 2019-08-15 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a dynamic network model of grammar that explains how linguistic structure is shaped by language use.
