Text Generation
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Author |
: Kathleen McKeown |
Publisher |
: Cambridge University Press |
Total Pages |
: 264 |
Release |
: 1992-06-26 |
ISBN-10 |
: 0521438020 |
ISBN-13 |
: 9780521438025 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Text Generation by : Kathleen McKeown
Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.
Author |
: Cecile Paris |
Publisher |
: Bloomsbury Publishing |
Total Pages |
: 242 |
Release |
: 2015-12-17 |
ISBN-10 |
: 9781474246514 |
ISBN-13 |
: 1474246516 |
Rating |
: 4/5 (14 Downloads) |
Synopsis User Modelling in Text Generation by : Cecile Paris
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.
Author |
: Manfred Stede |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 230 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461551799 |
ISBN-13 |
: 146155179X |
Rating |
: 4/5 (99 Downloads) |
Synopsis Lexical Semantics and Knowledge Representation in Multilingual Text Generation by : Manfred Stede
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.
Author |
: Lisa Nielsen |
Publisher |
: John Wiley & Sons |
Total Pages |
: 304 |
Release |
: 2011-10-18 |
ISBN-10 |
: 9781118076873 |
ISBN-13 |
: 1118076877 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Teaching Generation Text by : Lisa Nielsen
Mobilizing the power of cell phones to maximize students' learning power Teaching Generation Text shows how teachers can turn cell phones into an educational opportunity instead of an annoying distraction. With a host of innovative ideas, activities, lessons, and strategies, Nielsen and Webb offer a unique way to use students' preferred method of communication in the classroom. Cell phones can remind students to study, serve as a way to take notes, provide instant, on-demand answers and research, be a great vehicle for home-school connection, and record and capture oral reports or responses to polls and quizzes, all of which can be used to enhance lesson plans and increase motivation. Offers tactics for teachers to help their students integrate digital technology with their studies Filled with research-based ideas and strategies for using a cell phone to enhance learning Provides methods for incorporating cell phones into instruction with a unit planning guide and lesson plan ideas This innovative new book is filled with new ideas for engaging learners in fun, free, and easy ways using nothing more than a basic, text-enabled cell phone.
Author |
: G.A. Kempen |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 460 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9789400936454 |
ISBN-13 |
: 9400936451 |
Rating |
: 4/5 (54 Downloads) |
Synopsis Natural Language Generation by : G.A. Kempen
Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986
Author |
: Cecile L. Paris |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 414 |
Release |
: 2013-03-14 |
ISBN-10 |
: 9781475759457 |
ISBN-13 |
: 1475759452 |
Rating |
: 4/5 (57 Downloads) |
Synopsis Natural Language Generation in Artificial Intelligence and Computational Linguistics by : Cecile L. Paris
One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the propositional knowledge at hand, from the linguistic tools available, from the communicative goals and intentions to be achieved, from the audience the text is aimed at and from the situation and past discourse. Researchers in generation try to identify the factors involved in this process and determine how best to represent the factors and their dependencies.
Author |
: Gerhard Paaß |
Publisher |
: Springer Nature |
Total Pages |
: 448 |
Release |
: 2023-05-23 |
ISBN-10 |
: 9783031231902 |
ISBN-13 |
: 3031231902 |
Rating |
: 4/5 (02 Downloads) |
Synopsis Foundation Models for Natural Language Processing by : Gerhard Paaß
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.
Author |
: Biswadip Basu Mallik |
Publisher |
: John Wiley & Sons |
Total Pages |
: 471 |
Release |
: 2024-09-17 |
ISBN-10 |
: 9781394248414 |
ISBN-13 |
: 1394248415 |
Rating |
: 4/5 (14 Downloads) |
Synopsis Mathematical Modeling for Computer Applications by : Biswadip Basu Mallik
Author |
: Robert Dale |
Publisher |
: CRC Press |
Total Pages |
: 974 |
Release |
: 2000-07-25 |
ISBN-10 |
: 0824790006 |
ISBN-13 |
: 9780824790004 |
Rating |
: 4/5 (06 Downloads) |
Synopsis Handbook of Natural Language Processing by : Robert Dale
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Author |
: Arup Das |
Publisher |
: TinyTechMedia LLC |
Total Pages |
: 103 |
Release |
: 2024-07-20 |
ISBN-10 |
: 9798991129909 |
ISBN-13 |
: |
Rating |
: 4/5 (09 Downloads) |
Synopsis The Generative AI Practitioner’s Guide by : Arup Das
Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™