Computational Models Of Natural Language Processing
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Computational Models Of Natural Language Processing
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Author : Bruno G. Bara
language : en
Publisher: North Holland
Release Date : 1984
Computational Models Of Natural Language Processing written by Bruno G. Bara and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computers categories.
Language Cognition And Computational Models
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Author : Thierry Poibeau
language : en
Publisher: Cambridge University Press
Release Date : 2018-01-25
Language Cognition And Computational Models written by Thierry Poibeau and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-25 with Computers categories.
This book uses recent computational models to explore issues related to language and cognition.
Computational Models Of Speech Pattern Processing
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Author : Keith Ponting
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Models Of Speech Pattern Processing written by Keith Ponting 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 Computers categories.
Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997
Modern Computational Models Of Semantic Discovery In Natural Language
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Author : Žižka, Jan
language : en
Publisher: IGI Global
Release Date : 2015-07-17
Modern Computational Models Of Semantic Discovery In Natural Language written by Žižka, Jan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-17 with Computers categories.
Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.
Computational Models Of Argument
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Author : Chris Reed
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-09-15
Computational Models Of Argument written by Chris Reed and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-15 with Computers categories.
This book presents the proceedings of COMMA 2024, the 10th biennial International Conference on Computational Models of Argument, held from 18 to 20 September 2024 in Hagen, Germany. The COMMA conference series provides a dedicated forum for the presentation and discussion of the latest advancements in this interdisciplinary field, covering basic research, systems and innovative applications and nurturing the steady growth of interest in computational-argumentation research worldwide. A total of 63 submissions was received for the conference, and after a thorough review process 26 were accepted as full papers, with a further 12 accepted as demos accompanied by an extended abstract, and 2 as full papers with accompanying demo, resulting in an acceptance rate of 53% for full papers and 63% for papers and demo abstracts combined. In addition to these 40 papers, extended abstracts of the 3 invited talks are also included here: Semantics in Argumentation: Classifications and Challenges, by Leila Amgoud; Expanding the Scope of Bayesian Argumentation, by Ulrike Hahn; and The Long Road to Trustworthy Natural Language Argumentation, by Serena Villata. The book provides a fascinating overview of current research and innovations, and will be of interest to all those working in the field.
Integration Of Natural Language And Vision Processing
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Author : Paul Mc Kevitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Integration Of Natural Language And Vision Processing written by Paul Mc Kevitt 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 Computers categories.
Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP) there has heretofore been little progress on integrating these subareas of Artificial Intelligence (AI). This book contains a set of edited papers addressing computational models and systems for the integration of NLP and VP. The papers focus on site descriptions such as that of the large Japanese $500 million Real World Computing (RWC) project, on historical philosophical issues, on systems which have been built and which integrate the processing of visual scenes together with language about them, and on spatial relations which appear to be the key to integration. The U.S.A., Japan and the EU are well reflected, showing up the fact that integration is a truly international issue. There is no doubt that all of this will be necessary for the InformationSuperHighways of the future.
The Oxford Handbook Of Computational Linguistics
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Author : Ruslan Mitkov
language : en
Publisher: Oxford University Press
Release Date : 2022-05-23
The Oxford Handbook Of Computational Linguistics written by Ruslan Mitkov and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-23 with Language Arts & Disciplines categories.
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Bayesian Analysis In Natural Language Processing
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Author : Shay Cohen
language : en
Publisher: Springer Nature
Release Date : 2022-11-10
Bayesian Analysis In Natural Language Processing written by Shay Cohen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Computers categories.
Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate for various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. We cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling. Finally, we cover some of the fundamental modeling techniques in NLP, such as grammar modeling and their use with Bayesian analysis.
Intelligent Systems And Sustainable Computational Models
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Author : Rajganesh Nagarajan
language : en
Publisher: CRC Press
Release Date : 2024-06-03
Intelligent Systems And Sustainable Computational Models written by Rajganesh Nagarajan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Computers categories.
The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as: Intelligent and adaptive computing for sustainable energy, water, and transportation networks Blockchain for decentralized systems for sustainable applications, systems, and infrastructure IoT for sustainable critical infrastructure Explainable AI (XAI) and decision-making models for computational sustainability Sustainable development using edge computing, fog computing and cloud computing Cognitive intelligent systems for e-learning Artificial Intelligence and machine learning for large scale data Green computing and cyber physical systems Real-time applications in healthcare, agriculture, smart cities, and smart governance. By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.
Formal Analysis For Natural Language Processing A Handbook
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Author : Zhiwei Feng
language : en
Publisher: Springer Nature
Release Date : 2023-05-09
Formal Analysis For Natural Language Processing A Handbook written by Zhiwei Feng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Computers categories.
The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.