Approaches To Natural Language
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Approaches To Natural Language
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Author : Jaakko Hintikka
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Approaches To Natural Language written by Jaakko Hintikka and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Philosophy categories.
The papers and comments published in the present volume represent the proceedings of a research workshop on the grammar and semantics of natural languages held at Stanford University in the fall of 1970. The workshop met first for three days in September and then for a period of two days in November for extended discussion and analysis. The workshop was sponsored by the Committee on Basic Research in Education, which has been funded by the United States Office of Education through a grant to the National Academy of Education and the National Academy of Sciences - National Research Council. We acknowledge with pleasure the sponsorship which made possible a series oflively and stimulating meetings that were both enjoyable and instructive for the three of us, and, we hope, for most of the participants, including a number of local linguists and philosophers who did not contribute papers but actively joined in the discussion. One of the central participants in the workshop was Richard Montague. We record our sense of loss at his tragic death early in 1971, and we dedicate this volume to his memory. None of the papers in the present volume discusses explicitly problems of education. In our view such a discussion is neither necessary nor sufficient for a contribution to basic research in education. There are in fact good reasons why the kind of work reported in the present volume constitutes an important aspect of basic research in education.
Two Step Approaches To Natural Language Formalisms
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Author : Frank Morawietz
language : en
Publisher: Walter de Gruyter
Release Date : 2003
Two Step Approaches To Natural Language Formalisms written by Frank Morawietz and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
This book presents a unified formal approach to various contemporary linguistic formalisms such as Government & Binding, Minimalism or Tree Adjoining Grammar. Through a careful introduction of mathematical techniques from logic, automata theory and universal algebra, the book aims at graduate students and researchers who want to learn more about tightly constrained logical approaches to natural language syntax. Therefore it features a complete and well illustrated introduction to the connection between declarative approaches formalized in monadic second-order logic (MSO) and generative ones formalized in various forms of automata as well as of tree grammars. Since MSO logic (on trees) yields only context-free languages, and at least the last two of the formalisms mentioned above clearly belong to the class of mildly context-sensitive formalisms, it becomes necessary to deal with the problem of the descriptive complexity of the formalisms involved in another way. The proposed genuinely new two-step approach overcomes this limitation of MSO logic while still retaining the desired tightly controlled formal properties.
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing
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Author : Stefan Wermter
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-15
Connectionist Statistical And Symbolic Approaches To Learning For Natural Language Processing written by Stefan Wermter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-15 with Computers categories.
This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. Also included, and written with the novice reader in mind, is a comprehensive introductory survey by the volume editors. The volume presents the state of the art in the most promising current approaches to learning for NLP and is thus compulsory reading for researchers in the field or for anyone applying the new techniques to challenging real-world NLP problems.
Neural Network Methods In Natural Language Processing
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Author : Yoav Goldberg
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-04-17
Neural Network Methods In Natural Language Processing written by Yoav Goldberg and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-17 with Computers categories.
Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Cognitive Approach To Natural Language Processing
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Author : Bernadette Sharp
language : en
Publisher: Elsevier
Release Date : 2017-05-31
Cognitive Approach To Natural Language Processing written by Bernadette Sharp and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Computers categories.
As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain
Empirical Methods In Natural Language Generation
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Author : Emiel Krahmer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-09
Empirical Methods In Natural Language Generation written by Emiel Krahmer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-09 with Computers categories.
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
Cross Disciplinary Advances In Applied Natural Language Processing Issues And Approaches
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Author : Boonthum-Denecke, Chutima
language : en
Publisher: IGI Global
Release Date : 2011-12-31
Cross Disciplinary Advances In Applied Natural Language Processing Issues And Approaches written by Boonthum-Denecke, Chutima and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-31 with Computers categories.
"This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science"--Provided by publisher.
Semantic Approaches In Natural Language Processing
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Author : Manfred Pinkal
language : de
Publisher:
Release Date : 2010
Semantic Approaches In Natural Language Processing written by Manfred Pinkal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computational linguistics categories.
Coarse To Fine Natural Language Processing
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Author : Slav Petrov
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-03
Coarse To Fine Natural Language Processing written by Slav Petrov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-03 with Computers categories.
The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard practice to use statistical models, which assign probabilities for example to the different meanings of a word or the plausibility of grammatical constructions. This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in terms of accuracy and speed. The book is intended for students and researchers interested in statistical approaches to Natural Language Processing. Slav’s work Coarse-to-Fine Natural Language Processing represents a major advance in the area of syntactic parsing, and a great advertisement for the superiority of the machine-learning approach. Eugene Charniak (Brown University)
Deep Learning Approach For Natural Language Processing Speech And Computer Vision
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Author : L. Ashok Kumar
language : en
Publisher: CRC Press
Release Date : 2023-05-22
Deep Learning Approach For Natural Language Processing Speech And Computer Vision written by L. Ashok Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Business & Economics categories.
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.
