Text Generation
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The Forbidden Art Of Text Generation
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-04
The Forbidden Art Of Text Generation written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-04 with Computers categories.
Embark on an extraordinary journey into the world of text generation with The Forbidden Art of Text Generation, the ultimate guide to unlocking the power of this transformative technology. Within these pages, you'll discover the fundamentals of text generation, from the inner workings of language models to the art of crafting captivating narratives. You'll learn how to generate informative content, translate languages effortlessly, and enhance your writing with style and tone. But The Forbidden Art of Text Generation is not just a theoretical exploration. It's a practical guide that empowers you to harness the power of text generation for your own creative and professional endeavors. Whether you're a writer, a marketer, a translator, or simply someone who wants to explore the boundaries of language, this book has something to offer. With real-world examples, hands-on exercises, and expert insights, The Forbidden Art of Text Generation takes you on a step-by-step journey to master the art of text generation. You'll learn how to: * Craft compelling stories that captivate your audience * Generate engaging dialogue that brings your characters to life * Produce high-quality articles, blog posts, and other informative content * Translate languages accurately and contextually * Control the tone and style of your generated text The Forbidden Art of Text Generation also delves into the ethical implications of text generation and discusses the exciting possibilities that lie ahead. As you progress through this book, you'll gain a deep understanding of the technology and its potential impact on the future of language and creativity. Unlock the power of words with The Forbidden Art of Text Generation and embark on a journey that will forever change the way you think about language and creativity. If you like this book, write a review on google books!
Text Generation
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Author : Kathleen McKeown
language : en
Publisher: Cambridge University Press
Release Date : 1992-06-26
Text Generation written by Kathleen McKeown 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 1992-06-26 with Computers categories.
Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.
Lexical Semantics And Knowledge Representation In Multilingual Text Generation
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Author : Manfred Stede
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Lexical Semantics And Knowledge Representation In Multilingual Text Generation written by Manfred Stede 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.
In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context. Lexical Semantics and Knowledge Representation in Multilingual Text Generation develops the means for systematically deriving a set of paraphrases from the same underlying representation with the emphasis on events and verb meaning. Furthermore, the same mapping mechanism is used to achieve multilingual generation: English and German output are produced in parallel, on the basis of an adequate division between language-neutral and language-specific (lexical and grammatical) knowledge. Lexical Semantics and Knowledge Representation in Multilingual Text Generation provides detailed insights into designing the representations and organizing the generation process. Readers with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes.
User Modelling In Text Generation
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Author : Cecile Paris
language : en
Publisher: Bloomsbury Publishing
Release Date : 2015-12-17
User Modelling In Text Generation written by Cecile Paris and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-17 with Language Arts & Disciplines categories.
This book addresses the issue of how the user's level of domain knowledge affects interaction with a computer system. It demonstrates the feasibility of incorporating a model of user's domain knowledge into a natural language generation system.
Generative Ai Text Generation Strategies For Llms
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Generative Ai Text Generation Strategies For Llms written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book delves into the fascinating world of generative AI and explores how Large Language Models (LLMs) are revolutionizing text creation. It equips you with a foundational understanding of these AI models and empowers you to leverage their capabilities for various purposes. Part 1: Foundational Concepts sets the stage by introducing generative AI and its application in text generation. It unveils the inner workings of LLMs, explaining how these AI models are specifically designed to understand and process human language. You'll explore the vast potential of LLM-powered text generation, from crafting poems and scripts to generating product descriptions and social media content. Part 2: Applications and Use Cases dives into the practical applications of LLMs. You'll discover how LLMs can be used to generate different creative text formats like poetry, code, and even movie scripts. Explore techniques for style transfer and textual mashups, allowing you to create unique and innovative writing styles. The chapter on content creation and marketing explores how LLMs can assist with generating product descriptions, blog posts, and social media content, streamlining your content creation process. Part 3: Evaluation and Considerations delves into the process of evaluating LLM-generated text. You'll learn about various metrics used to assess the quality of the generated content, including coherence, fluency, and grammatical correctness. The chapter on challenges and biases in LLM text generation explores the importance of mitigating bias and promoting fairness in AI development. It also addresses safety and security concerns, along with the need for explainability and interpretability of LLM outputs. The final chapter explores the exciting future of generative AI and LLMs. You'll discover emerging trends like more powerful LLMs, multimodal capabilities that integrate text with other formats, and the potential for personalized LLMs that adapt to individual users. The book concludes by discussing the broader impact of generative AI on society, exploring its potential to transform creative industries, education, and communication. By understanding the fundamentals of LLMs and their applications, you can become an active participant in this evolving landscape of AI-powered text generation. This book equips you with the knowledge and tools to leverage the power of LLMs and unlock their potential for creative exploration, informative content creation, and innovative communication.
Ieis 2022
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Author : Menggang Li
language : en
Publisher: Springer Nature
Release Date : 2023-08-04
Ieis 2022 written by Menggang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
This proceedings book selects a great deal of research achievements in industrial restructuring strategy, industrial organization, industrial policy, departmental economic research, industrial competitiveness, regional industrial structure, national industrial economic security theory, and empirical research, and it emphasizes on combining theory with practice. With the economic globalization, there have been many new phenomena, new situations, and new challenges in the industries in many countries. The proceedings aim to discuss the problems in industrial economics and industrial security theories and practices. It is the documentation of the conference “9th International Conference on Industrial Economics System and Industrial Security Engineering”. Due to the impact of COVID-19, IEIS2022 took place online as a virtual conference.
Advances In Automatic Text Summarization
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Author : Inderjeet Mani
language : en
Publisher: MIT Press
Release Date : 1999
Advances In Automatic Text Summarization written by Inderjeet Mani and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora
Advanced Applications Of Generative Ai And Natural Language Processing Models
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Author : Obaid, Ahmed J.
language : en
Publisher: IGI Global
Release Date : 2023-12-21
Advanced Applications Of Generative Ai And Natural Language Processing Models written by Obaid, Ahmed J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
Deep Learning Approaches To Text Production
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Author : Shashi Narayan
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Deep Learning Approaches To Text Production written by Shashi Narayan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
Text production has many applications. It is used, for instance, to generate dialogue turns from dialogue moves, verbalise the content of knowledge bases, or generate English sentences from rich linguistic representations, such as dependency trees or abstract meaning representations. Text production is also at work in text-to-text transformations such as sentence compression, sentence fusion, paraphrasing, sentence (or text) simplification, and text summarisation. This book offers an overview of the fundamentals of neural models for text production. In particular, we elaborate on three main aspects of neural approaches to text production: how sequential decoders learn to generate adequate text, how encoders learn to produce better input representations, and how neural generators account for task-specific objectives. Indeed, each text-production task raises a slightly different challenge (e.g, how to take the dialogue context into account when producing a dialogue turn, how to detect and merge relevant information when summarising a text, or how to produce a well-formed text that correctly captures the information contained in some input data in the case of data-to-text generation). We outline the constraints specific to some of these tasks and examine how existing neural models account for them. More generally, this book considers text-to-text, meaning-to-text, and data-to-text transformations. It aims to provide the audience with a basic knowledge of neural approaches to text production and a roadmap to get them started with the related work. The book is mainly targeted at researchers, graduate students, and industrials interested in text production from different forms of inputs.
Affective Computing For Social Good
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Author : Muskan Garg
language : en
Publisher: Springer Nature
Release Date : 2024-10-07
Affective Computing For Social Good written by Muskan Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Computers categories.
Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective computing. It covers a spectrum of topics ranging from foundational theories and technologies to ethical considerations and future possibilities. Beginning with "Deciphering the Emotional Spectrum: Advances in Emotion Science and Analysis," it sets the stage by tracing the evolution of understanding human emotions. Subsequent chapters explore practical applications, such as integrating clinical psychology with affective computing for therapeutic progress and leveraging affective computing in diagnosing and managing mood disorders more efficiently. As the narrative unfolds, the book emphasizes the crucial role of affective computing in fostering social justice and equity. It underscores the need for developing inclusive algorithms and databases while addressing ethical challenges like privacy, consent, and the risk of emotional manipulation. These discussions emphasize the significance of ethical deployment and regulation. The book also covers the technical aspects and applications of affective computing, including natural language processing for emotion recognition and analysis, voice emotion detection, and visual emotion recognition. It extends to applications, such as the use of affective computing in health management via recommender systems and personalized well-being interventions in mental health care. Addressing data challenges, "Enhancing Affective Computing with Data Augmentation: Strategies for Overcoming Limited Data Availability" presents solutions for imbalances affecting model performance. "Advancements in Multimodal Emotion Recognition" highlights the integration of facial expressions with physiological signals to improve emotion recognition accuracy and reliability. Concluding with "Ethical Considerations in Affective Computing" and "Cognitive Currents: A Path from Neuroscience to Consciousness," the book connects technical advancements in affective computing with broader ethical and philosophical inquiries surrounding consciousness and the human experience. Features: Helps readers understand the potential benefits of emotionally intelligent AI systems, such as improving mental health care, enhancing education, or promoting more ethical decision-making. Addresses ethical considerations related to the development and deployment of emotionally intelligent AI systems, helping readers to become more aware of the potential risks and trade-offs involved. Presents new approaches or frameworks for developing emotionally intelligent AI systems, providing readers with innovative ideas and perspectives. Provides examples of successful case studies where emotionally intelligent AI systems were used for social good, which may inspire readers to think about how they can contribute to society through AI development. Overall, this book will help readers gain a deeper understanding of the intersection between AI and human emotions, and how this technology can be used to create a more empathetic, compassionate, and socially responsible world.