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  1. Document analysis and recognition - ICDAR 2023
    Part 3
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  Springer, Cham

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(14189)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031416811
    Parent title: Document analysis and recognition - ICDAR 2023 - Show all bands
    Corporations / Congresses: ICDAR, 17. (2023, San Jose, Calif.; Online)
    Series: Lecture notes in computer science ; 14189
    Subjects: Bildverarbeitung; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Networking / General; Computer networking & communications; Computer vision; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerhardware; EDUCATION / Computers & Technology; Educational equipment & technology, computer-aided learning (CAL); Information technology: general issues; Lehrmittel, Lerntechnologien, E-Learning; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xx, 507 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Graphics Recognition.- Document Analysis and Recognition.- Frontiers in Handwriting Recognition.- Document Analysis and Systems.- Document Analysis Systems.- Document Layout and Parsing.- Document Information Extraction, Handwriting Recognition.- Scene Text Detection and Recognition.- Document Image Processing.- Historical Document Analysis.- NLP for Document Understanding.- Graphics.- Table, Chart and Math Recognition.
  2. Document analysis and recognition - ICDAR 2023
    Part 4
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  Springer, Cham

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(14190)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031416842
    Parent title: Document analysis and recognition - ICDAR 2023 - Show all bands
    Corporations / Congresses: ICDAR, 17. (2023, San Jose, Calif.; Online)
    Series: Lecture notes in computer science ; 14190
    Subjects: Bildverarbeitung; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Networking / General; Computer networking & communications; Computer vision; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerhardware; EDUCATION / Computers & Technology; Educational equipment & technology, computer-aided learning (CAL); Information technology: general issues; Lehrmittel, Lerntechnologien, E-Learning; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xix, 466 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Graphics Recognition.- Document Analysis and Recognition.- Frontiers in Handwriting Recognition.- Document Analysis and Systems.- Document Analysis Systems.- Document Layout and Parsing.- Document Information Extraction, Handwriting Recognition.- Scene Text Detection and Recognition.- Document Image Processing.- Historical Document Analysis.- NLP for Document Understanding.- Graphics.- Table, Chart and Math Recognition.
  3. Document analysis and recognition - ICDAR 2023
    Part 5
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  Springer, Cham

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(14191)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition

     
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    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Fink, Gernot A. (HerausgeberIn); Jain, Rajiv (HerausgeberIn); Kise, Koichi (HerausgeberIn); Zanibbi, Richard (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031417337
    Parent title: Document analysis and recognition - ICDAR 2023 - Show all bands
    Corporations / Congresses: ICDAR, 17. (2023, San Jose, Calif.; Online)
    Series: Lecture notes in computer science ; 14191
    Moremedia
    Subjects: Bildverarbeitung; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Networking / General; Computer networking & communications; Computer vision; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerhardware; EDUCATION / Computers & Technology; Educational equipment & technology, computer-aided learning (CAL); Information technology: general issues; Lehrmittel, Lerntechnologien, E-Learning; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xx, 552 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Graphics Recognition.- Document Analysis and Recognition.- Frontiers in Handwriting Recognition.- Document Analysis and Systems.- Document Analysis Systems.- Document Layout and Parsing.- Document Information Extraction, Handwriting Recognition.- Scene Text Detection and Recognition.- Document Image Processing.- Historical Document Analysis.- NLP for Document Understanding.- Graphics.- Table, Chart and Math Recognition.
  4. Study of Multilingual Phone Recognition Using Indian Languages
    Author: Manjunath, K E
    Published: 2023
    Publisher:  K E Manjunath, [Erscheinungsort nicht ermittelbar]

  5. Rise of the Machines
    Exploring Artificial Intelligence
    Author: Ford, Christopher
    Published: 2023
    Publisher:  Christopher Ford, [Erscheinungsort nicht ermittelbar]

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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9798223352112
    Series: The It Collection
    Subjects: COMPUTERS / Natural Language Processing; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 202 Seiten
  6. Symbols
    An Evolutionary History from the Stone Age to the Future
    Author: Sproat, Richard
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds... more

     

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems - systems that are not tied to spoken language - and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex "messages" if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were "dictated", thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical "evidence" for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031268083
    Edition: 1st ed. 2023
    Subjects: COM094000; COMPUTERS / Computer Science; COMPUTERS / Computer Simulation; COMPUTERS / Natural Language Processing; Computational linguistics; Computer modelling & simulation; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Computermodellierung und -simulation; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Social research & statistics
    Scope: 319 Seiten
    Notes:

    Preface1 Introduction 1.1 What s in a Symbol? 1.2 Syntax 1.3 What this book is about2 Semiotics 2.1 Introduction 2.2 The Field of Semiotics 2.3 Iconicity 2.4 Syntax 2.5 Articulation3 Taxonomy 3.1 Introduction 3.2 History 3.3 Preliminary Taxonomy 3.4 Examples of systems 3.5 Kamon/Heraldry 3.5.1 Kamon 3.5.2 British heraldry 3.5.3 Structural Differences: Summary 3.A Symbol system survey (A detailed analysis of 26 symbol systems) 3.B Statistics of kamon4 Writing Systems 4.1 Introduction 4.2 Writing 4.2.1 Preliminaries 4.2.2 Types of Writing Systems 4.2.3 Blissymbolics 4.3 Limitations of writing 4.3.1 Inclusiveness 4.3.2 Graphocentrism 4.3.3 Summary 4.4 Writing: A summary5 Symbols in the Brain 5.1 Brain areas 5.2 Meaning in the brain 5.3 Reading in the brain 5.3.1 The letterbox 5.3.2 Summary: the evolution of the letterbox 5.4 Non-linguistic symbols in the brain 5.5 A Hypothesis6 The Evolution of Writing 6.1 Evolution 6.2 A Hypothesis 6.3 Schools7 Simulations 7.1 Prior work 7.2 Simulation 7.2.1 Description of the model 7.2.2 Simulation of evolution 7.2.3 Summary and discussion 7.3 Pre-writing 7.4 Summary 7.A Details 7.A.1 Data Generation 7.A.2 Model 7.B Compounds 7.B.1 Monosyllabic cases 7.B.2 Sesquisyllabic cases 7.B.3 Disyllabic cases8 Misrepresentations 8.1 Introduction 8.2 What does it mean to say something "Looks like writing"? 8.3 Statistics 8.3.1 Statistical analysis of the Indus Valley inscriptions 8.3.2 More on structure in the Indus inscriptions 8.3.3 Variations of distributions of symbols 8.4 Summary9 The Future 9.1 The Dream of a Universal Written Language 9.2 Semasiography 9.3 The Prestige of Writing 9.4 Final Thoughts
  7. Proceedings of International Joint Conference on Advances in Computational Intelligence
    IJCACI 2022
    Contributor: Bansal, Jagdish Chand (HerausgeberIn); Uddin, Mohammad Shorif (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 - 16, 2022. IJCACI 2022 is jointly organized by... more

     

    This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 - 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Bansal, Jagdish Chand (HerausgeberIn); Uddin, Mohammad Shorif (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819914340
    Edition: 1st ed. 2023
    Series: Algorithms for Intelligent Systems
    Subjects: Algorithms & data structures; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Information Theory; Datenbanken; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 745 Seiten
    Notes:

    An Approach for Sign Language Recognition with Deep Learning Algorithm.- Using the Contrastive Language-Image Pretraining Model for Object Detection on Images containing Textual Lables.- An entropy-based hybrid vessel segmentation approach for Diabetic Retinopathy Screening in the fundus image.- Facial recognition Approach: As per the trend of 2022-23 using Python.
  8. Misinformation and Disinformation
    Detecting Fakes with the Eye and AI
    Author: Rubin, Victoria L.
    Published: 2023
    Publisher:  Springer Nature Switzerland AG, Cham

    This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this... more

     

    This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global 'infodemic'. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals.Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content;Suggests practical computational means to intervene and curtail the global 'infodemic' of fake news;Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783030956585
    Edition: 1st ed. 2022
    Subjects: Bildverarbeitung; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / Speech & Audio Processing; Computer vision; Image processing; Maschinelles Sehen, Bildverstehen; Media studies; Medienwissenschaften: Internet, digitale Medien und Gesellschaft; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; SOCIAL SCIENCE / Media Studies; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 289 Seiten
    Notes:

    Introduction.- Infodemic in the Digital Media Content.- Part I. Human Nature of Deception and Perceptions of Truth.- Psychology of Mis-/Disinformation and Language of Deceit.- Library and Information Science on Credibility and Trust in Computing.- Philosophies of Truth.- Part II. Applied Practices and Artificial Intelligence (AI).- Investigation in Law Enforcement, Journalism, and Sciences.- Manipulation in Marketing, Advertising, and Public Relations.- Artificially Intelligent Solutions: Detection, Debunking, Fact-Checking.- Lessons for Infodemic Control and Future of Digital Content Verification.- Conclusion.
  9. Generative AI
    How ChatGPT and Other AI Tools Will Revolutionize Business
    Author: Taulli, Tom
    Published: 2023
    Publisher:  Apress, CA

    This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. ... more

     

    This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions - which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781484293690
    Edition: 1st ed
    Subjects: Algorithms & data structures; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; COMPUTERS / Information Theory; Computational linguistics; Computerlinguistik und Korpuslinguistik; Datenbanken; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Other subjects: AI Art; DeepMind Gopher; Deepfakes
    Scope: 208 Seiten
    Notes:

    Chapter 1: Introduction to Generative AI.- Chapter 2: Data.- Chapter 3: AI Fundamentals.- Chapter 4: Core Generative AI Technology.- Chapter 5: Large Language Models.- Chapter 6: Auto Code Generation.- Chapter 7: The Transformation of Business.- Chapter 8: The Impact on Major Businesses.- Chapter 9: The Future.
  10. Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications
    ICAIAA 2022
    Contributor: Bundele, Mahesh (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn); Tripathi, Ashish (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented in the 3rd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 23-24, 2022. This... more

     

    This book gathers outstanding research papers presented in the 3rd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 23-24, 2022. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in health care, agriculture, and business, security. It also covers research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN, NFV, etc

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Bundele, Mahesh (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn); Tripathi, Ashish (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811970405
    Edition: 1st ed. 2023
    Series: Algorithms for Intelligent Systems
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; Circuits & components; Image processing; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik); TECHNOLOGY & ENGINEERING / Electronics / Circuits / General; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 663 Seiten
    Notes:

    Prediction of Polycystic Ovary Syndrome (PCOS) using Optimized Machine Learning Classifiers.- Literature Review: A Comparative Study of Software Defect Prediction Techniques.- Crop Recommendation using Machine Learning Algorithms and Soil Attributes Data.- Application of Machine Learning Models to Improve the Accuracy of Earnings Management Prediction.- Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring.- Evolutionary Algorithms for Marine Dynamical Systems: Towards Sustainable Renewable Energy Harvesting from O shore Environment.- Comparison of Different Swarm Based Nature Inspired Algorithm for solution of Optimization Problem.- Assessment of Firm's Performance by Employing Text Mining Techniques.- Decisions Prediction Techniques using Language Processing and Learning Algorithms.- Machine Learning-based Tool to Classify Online Toxic Comments.
  11. Formal Analysis for Natural Language Processing: A Handbook
    Author: Feng, Zhiwei
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    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.... more

     

    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

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811651717
    Edition: 1st ed. 2023
    Subjects: COMPUTERS / Computer Science; COMPUTERS / Data Processing / Speech & Audio Processing; Computational linguistics; Computer science; Computerlinguistik und Korpuslinguistik; LANGUAGE ARTS & DISCIPLINES / Linguistics; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik
    Scope: 796 Seiten
    Notes:

    Part One History Review Chapter One Past and Present of Natural Language Processing 1.1 What is natural language processing 1.2 History review of natural language processing 1.3 Characteristics of current trends in natural language processing References Chapter Two Pioneers in the Study of Language Computing 2.1 Markov chains 2.2 Zipf's law 2.3 Shannon's work on entropy 2.4 Bar-Hillel's category grammar 2.5 Harris's approach of linguistic string analysis 2.6 . . 's linguistic set theory model References
  12. Man-machine speech communication
    17th National Conference, NCMMSC 2022, Hefei, China, December 15-18, 2022, proceedings
    Contributor: Jia, Jia (HerausgeberIn); Jianqing, Gao (HerausgeberIn); Yu, Kai (HerausgeberIn); Zhenhua, Ling (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Singapore

    This book constitutes the refereed proceedings of the 17th National Conference on Man-Machine Speech Communication, NCMMSC 2022, held in China, in December 2022. The 21 full papers and 7 short papers included in this book were carefully reviewed and... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RS 7445(1765)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

     

    This book constitutes the refereed proceedings of the 17th National Conference on Man-Machine Speech Communication, NCMMSC 2022, held in China, in December 2022. The 21 full papers and 7 short papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model, MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Jia, Jia (HerausgeberIn); Jianqing, Gao (HerausgeberIn); Yu, Kai (HerausgeberIn); Zhenhua, Ling (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9789819924004
    Corporations / Congresses: NCMMSC, 17. (2022, Hefei)
    Series: Communications in computer and information science ; 1765
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / User Interfaces; Digitale Signalverarbeitung (DSP); Elektronik; Image processing; Imaging systems & technology; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Electronics / General; User interface design & usability
    Scope: xi, 332 Seiten, Illustrationen, Diagramme
    Notes:

    MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation.- Baby Cry Recognition Based on Acoustic Segment Model.- A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification.- Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations.- Using Emoji as an Emotion Modality in Text-Based Depression Detection.- Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis.- Semantic enhancement framework for robust speech recognition.- Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model.- Predictive AutoEncoders are Context-Aware Unsupervised Anomalous Sound Detectors.- A pipelined framework with serialized output training for overlapping speech recognition.- Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification.- Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement.- Multiple Confidence Gates for Joint Training of SE and ASR.- Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion.- Pre-training Techniques For Improving Text-to-Speech Synthesis By Automatic Speech Recognition Based Data Enhancement.- A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition.- Interplay between prosody and syntax-semantics: Evidence from the prosodic features of Mandarin tag questions.- Improving Fine-grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis.- Violence Detection through Fusing Visual Information to Auditory Scene.- Mongolian Text-to-Speech Challenge under Low-Resource Scenario for NCMMSC2022.- VC-AUG Voice Conversion based Data Augmentation for Text-Dependent Speaker Verification.- Transformer-based potential emotional relation mining network for emotion recognition in conversation.- FastFoley Non-Autoregressive Foley Sound Generation Based On Visual Semantics.- Structured Hierarchical Dialogue Policy with Graph Neural Networks.- Deep Reinforcement Learning for On-line Dialogue State Tracking.- Dual Learning for Dialogue State Tracking.- Automatic Stress Annotation and Prediction For Expressive Mandarin TTS.- MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.
  13. Proceedings of International Joint Conference on Advances in Computational Intelligence
    IJCACI 2021
    Contributor: Bansal, Jagdish Chand (HerausgeberIn); Jamwal, Prashant kumar (HerausgeberIn); Uddin, Mohammad Shorif (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented at the 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), held online during October 23-24, 2021. IJCACI 2021 is jointly organized by Jahangirnagar... more

     

    This book gathers outstanding research papers presented at the 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), held online during October 23-24, 2021. IJCACI 2021 is jointly organized by Jahangirnagar University (JU), Bangladesh, and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing

     
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    Source: Union catalogues
    Contributor: Bansal, Jagdish Chand (HerausgeberIn); Jamwal, Prashant kumar (HerausgeberIn); Uddin, Mohammad Shorif (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811903342
    Edition: 1st ed. 2022
    Series: Algorithms for Intelligent Systems
    Subjects: Algorithms & data structures; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Information Theory; Datenbanken; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 648 Seiten
    Notes:

    Performance Analysis of Secure Hybrid Approach for Sharing Data Securely in Vehicular Adhoc Network.- Particle swarm optimization and computational algorithm based weighted fuzzy time series forecasting method.- Assessing Usability of Mobile Applications Developed for Autistic Users through Heuristic and Semiotic Evaluation.- Blockchain Implementations and Use Cases for Inhibiting COVID-19 Pandemic.- Ant Colony Optimization to Solve the Rescue Problem as a Vehicle Routing Problem with Hard Time Windows.- Applying Opinion Leaders to Investigate the Best-of-n Decision Problem in Decentralized Systems.- Pathfinding in the Paparazzi Problem Comparing Different Distance Measures.- Empirical Evaluation of Motion Cue for Passive-Blind Video Tamper Detection Using Optical Flow Technique.- Quantifying Changes in Sundarbans Mangrove Forest Through GEE Cloud Computing Approach.- Metaheuristics and Hyper-Heuristics based on Evolutionary Algorithms for Software Integration Testing.
  14. AI For All
    How Everyday People Can Benefit from Artificial Intelligence
    Author: Schuster, Shawn
    Published: 2023
    Publisher:  Shawn M Schuster, [Erscheinungsort nicht ermittelbar]

  15. Chinese lexical semantics
    Part 1
    Contributor: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  Springer, Cham

    The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full... more

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    The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing

     
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    Source: Union catalogues
    Contributor: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031289521
    Other identifier:
    Parent title: Chinese lexical semantics - Show all bands
    Series: Array ; 13495
    Subjects: COMPUTERS / Natural Language Processing; Chinese; Chinesisch; Computational linguistics; Computerlinguistik und Korpuslinguistik; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xv, 569 Seiten, Diagramme
    Notes:

    Literaturangaben

    Divergence and Convergence in Tense and Aspect Meanings of "guo" and "le".- A Corpus-based Study on the Syllablic Form Selection of Ancient Chinese High-frequency Nouns in the Middle Ages.- On the Emergence of Positive Meaning of Xiangdan from the Structure of Xiangdan de NP.- Active and Passive Expressions of Tolerance: A Semantic Analysis of the Near-Synonyms ren3 and shou4 Based on MARVS Theory.- A Study of Nominal Verbs in Modern Chinese Based on Shannon-Wiener Index--Case Studies on "Bianhua" Words.- The Causativity of Preposition "Dui (for)".- Construction of Grammar Collocation Library for International Chinese Language Education and Difficulty Standard.- The Study of Causal Nouns in Mandarin Chinese: From the Perspective of Syntactic Realization and Pragmatic Function.- Construction of Effective News Corpus in Commodity Futures Domain.- MSDD: A Multimodal Language Dataset for Stance Detection.- Novel Lexical Semantic Change and Interactivization.- The Phonetic Types, Mechanism, and Motivation of Syllable Contraction of "numerals + ge" in Henan dialect.- A Hybrid Account of the Expressivity in Mandarin Nominals.- The Relationship Between the Emphatic Meaning and the Adversative Meaning from the Perspective of Linguistic Typology: The Cases of Chinese Ke and Jiùshì.- Research on the Semantic Map of Multifunctional Morpheme Cong.- Aspectuality and Subjectivity of Le in Chinese Conditionals.- Research on the Phenomenon of Tone Sandhi of BB in ABB-Pattern Adjectives from the Perspective of Coercion Effects.- Extracting Concepts and Semantic Associates for Teaching Tang 300 Poems to L2 Learners.- Tracing Lexical Semantic Change with Distributional Semantics: Change and Stability.- A Study on the Recovery of Omitted Constituents in Chinese Elliptical Sentences.- Recognition of Disyllabic Intransitive Verbs and Study on Disyllabic Intransitive Verbs Taking Objects Based on Structure Retrieval.- The Introduction of Positive Position in "Vwish +VPneg" and its Pragmatic Consequences.- A Grammatical Study of Chinese Counter-Expectation Marker "Jìngrán" -in Comparison with Korean Counter-Expectation Marker "-tani".- Variations in Alternative Pattern of Light Verb Construction between Taiwan and Mainland Mandarin.- Responses to Questions in Mandarin Chinese.- Semantic Dependency Analysis of Special Sentence Patterns in Ancient Chinese.- A Study on the Selection Mechanism of the Chinese Loan Words of the Same Signified with Different Signifiers.- A Case Study on Scalar Ordering Relations of Chinese Adverbs.- Study of Chinese Words in Diachronic Corpus of Newspaper.- The Similarities and Differences of Thanks Responses between Native Speakers and Mandarin Teaching Materials in Taiwan.- A Study on the Positional Relationship Between Preposition-Object Structures and Predicate Components in Mozi Based on Corpus.- The First Step to Resolve the Centennial Controversy over the Adverb D u: Classification.- The Syntactic Features of Chinese Verbs of Saluting.- The Semantic Roles of Chinese Verbs of Saluting.- A Study on the Context Mode of the Linking Verb "Shi" Addressing a New Branch Naming.- Taking Comparison between the Degree Adverbs in Northeast Dialect and Taiwanese Mandarin from Three Perspectives - Taking L o and Chao as Examples.- Exploring the Semantic Differences of Motion Verbs from the Perspective of Image Schema - Take the Verbs "la", " zhuài " and "tu " as An Example.- A Corpus-Based Study of the Usage of Chinese Core Separable Words i
  16. Mammogram Image Classification Using Artificial Intelligence
    Author: M, Velmurugan
    Published: 2023
    Publisher:  Abhilash Book Publishers & Distributors, [Erscheinungsort nicht ermittelbar]

  17. The Intersection of Artificial and Multiple Intelligence
    Author: Kaushik Thakar, Devang
    Published: 2023
    Publisher:  Jainsudesh916@gmail.com, [Erscheinungsort nicht ermittelbar]

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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781805252528
    Subjects: COMPUTERS / Natural Language Processing; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 274 Seiten
  18. Machine Learning For Humans
    Introduction to Machine Learning with Python
    Author: Maini, Vishal; Ssabri, Samer
    Published: 2023
    Publisher:  Alanna Maldonado, [Erscheinungsort nicht ermittelbar]

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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789732343777
    Subjects: COMPUTERS / Natural Language Processing; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 98 Seiten
  19. Computational linguistics and intelligent text processing
    Part 1
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    RN 2835(13396)
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    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031237928
    Parent title: Computational linguistics and intelligent text processing - Show all bands
    Corporations / Congresses: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Series: Lecture notes in computer science ; 13396
    Subjects: Angewandte Informatik; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; COMPUTERS / Information Technology; COMPUTERS / Information Theory; Coding theory & cryptology; Computational linguistics; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Information retrieval; Informationstheorie; Kodierungstheorie und Verschlüsselung (Kryptologie); LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xviii, 431 Seiten, Illustrationen
    Notes:

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
  20. Computational linguistics and intelligent text processing
    Part 2
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13397)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031238031
    Parent title: Computational linguistics and intelligent text processing - Show all bands
    Corporations / Congresses: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Series: Lecture notes in computer science ; 133397
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; Computational linguistics; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Image processing; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Society & social sciences
    Scope: xviii, 457 Seiten
    Notes:

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
  21. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers – Part 1
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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  22. Formal methods
    25th International Symposium, FM 2023, Lubeck, Germany, March 6-10, 2023 : proceedings
    Contributor: Chechik, Marsha (HerausgeberIn); Katoen, Joost-Pieter (HerausgeberIn); Leucker, Martin (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This book constitutes the refereed proceedings of the 25th International Symposium on Formal Methods, FM 2023, which took place in Lübeck, Germany, in March 2023. The 26 full paper, 2 short papers included in this book were carefully reviewed and... more

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    This book constitutes the refereed proceedings of the 25th International Symposium on Formal Methods, FM 2023, which took place in Lübeck, Germany, in March 2023. The 26 full paper, 2 short papers included in this book were carefully reviewed and selected rom 95 submissions. They have been organized in topical sections as follows: SAT/SMT; Verification; Quantitative Verification; Concurrency and Memory Models; Formal Methods in AI; Safety and Reliability. The proceedings also contain 3 keynote talks and 7 papers from the industry day

     
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    Source: Union catalogues
    Contributor: Chechik, Marsha (HerausgeberIn); Katoen, Joost-Pieter (HerausgeberIn); Leucker, Martin (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031274800
    Corporations / Congresses: International Symposium on Formal Methods, 25. (2023, Lübeck)
    Series: Lecture notes in computer science ; 14000
    Subjects: Algorithms & data structures; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; COMPUTERS / General; COMPUTERS / Hardware / General; COMPUTERS / Programming / General; COMPUTERS / Programming / Software Development; Computer programming / software development; Computerhardware; Computing & information technology; Expert systems / knowledge-based systems; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Programmier- und Skriptsprachen, allgemein; Software Engineering; Software Engineering; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme
    Scope: xvi, 659 Seiten, Diagramme
    Notes:

    Literaturangaben

    Keynotes.- Symbolic Computation in Automated Program Reasoning.- The next big thing: from embedded systems to embodied actors.- Intelligent and Dependable Decision-Making Under Uncertainty.- A Coq formalization of Lebesgue Induction Principle and Tonelli's Theorem.- SAT/SMT.- Railway Scheduling Using Boolean Satisfiability Modulo Simulations.- SMT Sampling via Model-Guided Approximation.- Efficient SMT-based Network Fault Tolerance Verification.- Verification I.- Formalising the Prevention of Microarchitectural Timing Channels by Operating Systems.- Can we Communicate? Using Dynamic Logic to Verify Team Automata.- The ScalaFix equation solver.- HHLPy: Practical Verification of Hybrid Systems using Hoare Logic.- Quantitative Verification.- symQV: Automated Symbolic Verification of Quantum Programs.- PFL: a Probabilistic Logic for Fault Trees.- Energy Buechi Problems.- QMaude: quantitative specification and verification in rewriting logic.- Concurrency and Memory Models.- Minimisation of Spatial Models using Branching Bisimilarity.- Reasoning about Promises in Weak Memory Models with Event Structures.- A fine-grained semantics for arrays and pointers under weak memory models.- VeyMont: Parallelising Verified Programs instead of Verifying Parallel Programs.- Verification 2.- Verifying At the Level of Java Bytecode.- Abstract Alloy Instances.- Monitoring the Internet Computer.- Word Equations in Synergy with Regular Constraints.- Formal Methods in AI.- Verifying Feedforward Neural Networks for Classification in Isabelle/HOL.- SMPT: A Testbed for Reachabilty Methods in Generalized Petri Nets.- The Octatope Abstract Domain for Verification of Neural Networks.- Program Semantics and Verification Technique for AI-centred Programs.- Safety and Reliability.- Tableaux for Realizability of Safety Specifications.- A Decision Diagram Operation for Reachability.- Formal Modelling of Safety Architecture for Responsibility-AwareAutonomous Vehicle via Event-B Refinement.- A Runtime Environment for Contract Automata.- Industry Day.- Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny.- Shifting Left for Early Detection of Machine-Learning Bugs.- A Systematic Approach to Automotive Security.- Specification-Guided Critical Scenario Identification for Automated Driving.- Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks.- Backdoor Mitigation in Deep Neural Networks via Strategic Retraining.- veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System.
  23. Rules and reasoning
    6th International Joint Conference on Rules and Reasoning, RuleML+RR 2022, Berlin, Germany, September 26-28, 2022 : proceedings
    Contributor: Governatori, Guido (HerausgeberIn); Turhan, Anni-Yasmin (HerausgeberIn)
    Published: [2022]
    Publisher:  Springer, Cham

    This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2022, held in Berlin, Germany, during September 26-28, 2022. This is the 6th conference of a new series, joining the efforts of two existing... more

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    This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2022, held in Berlin, Germany, during September 26-28, 2022. This is the 6th conference of a new series, joining the efforts of two existing conference series, namely "RuleML" (International Web Rule Symposium) and "RR" (Web Reasoning and Rule Systems).The 18 full research papers presented in this book were carefully reviewed and selected from 54 submissions. The papers cover the following topics: answer set programming; foundations of nonmonotonic reasoning; datalog; queries over ontologies; proofs, error-tolerance, and rules; as well as agents and argumentation

     
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    Source: Union catalogues
    Contributor: Governatori, Guido (HerausgeberIn); Turhan, Anni-Yasmin (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031215407
    Corporations / Congresses: International Joint Conference on Rules and Reasoning, 6. (2022, Online)
    Series: Lecture notes in computer science ; 13752
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Science; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; COMPUTERS / Expert Systems; Computer science; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Databases; Datenbanken; Expert systems / knowledge-based systems; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Public administration; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme
    Scope: xii, 304 Seiten
    Notes:

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Answer Set Programming.- Foundations of Nonmonotonic Reasoning.- Datalog.- Queries Over Ontologies.- Proofs, Error-tolerance, and Rules.- Agents and Argumentation.
  24. Deep dearning approach for natural language processing, speech, and computer vision
    techniques and use cases
    Author: Kumar, L. Ashok; Renuka, D. Karthika
    Published: 2023
    Publisher:  CRC Press, Boca Raton

    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 more

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    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

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781032391656; 9781032391663
    Edition: First edition
    Subjects: COM094000; COMPUTERS / Natural Language Processing; COMPUTERS / Neural Networks; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Neural networks & fuzzy systems; Neuronale Netze und Fuzzysysteme
    Scope: xix, 225 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision
  25. Foundation Models for Natural Language Processing
    Pre-trained Language Models Integrating Media
    Author: Paaß, Gerhard; Giesselbach, Sven
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a... more

     

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI

     
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    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031231896
    Edition: 1st ed. 2023
    Series: Artificial Intelligence: Foundations, Theory, and Algorithms
    Subjects: Artificial intelligence; COM094000; COMPUTERS / Artificial Intelligence; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 444 Seiten
    Notes:

    1 Introduction 1.1 Scope of the Book 1.2 Preprocessing of Text 1.3 Vector Space Models and Document Classification 1.4 Nonlinear Classifiers 1.5 Generating Static Word Embeddings 1.6 Recurrent Neural Networks 1.7 Convolutional Neural Networks 1.8 Summary 2 Pre-trained Language Models2.1 BERT: Self-Attention and Contextual Embeddings 2.2 GPT: Autoregressive Language Models 2.3 Transformer: Sequence-to-Sequence Translation 2.4 Training and Assessment of Pre-trained Language Models 3 Improving Pre-trained Language Models 3.2 Capturing Longer Dependencies 3.3 Multilingual Pre-trained Language Models 3.4 Additional Knowledge for Pre-trained Language Models 3.5 Changing Model Size 3.6 Fine-tuning for Specific Applications 4. Knowledge Acquired by Foundation Models 4.1 Benchmark Collections 4.2 Evaluating Knowledge by Probing Classifiers 4.3 Transferability and Reproducibility of Benchmarks 5 Foundation Models for Information Extraction 5.1 Text Classification5.2 Word Sense Disambiguation5.3 Named Entity Recognition 5.4 Relation Extraction 6 Foundation Models for Text Generation 6.1 Document Retrieval6.2 Question Answering 6.3 Neural Machine Translation 6.4 Text Summarization 6.5 Story Generation 6.6 Dialog Systems 7 Foundation Models for Speech, Images, Videos, and Control 7.1 Speech Recognition and Generation7.2 Image Processing and Generation 7.3 Video Interpretation and Generation 7.4 Controlling Dynamic Systems 8 Summary and Outlook 8.1 Foundation Models are a New Paradigm 8.2 Potential Harm from Foundation Models 8.3 Advanced Artificial Intelligence Systems Appendix