Text Generation

Text Generation PDF Author: Kathleen McKeown
Publisher: Cambridge University Press
ISBN: 9780521438025
Category : Computers
Languages : en
Pages : 264

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Book Description
Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.

Text Generation

Text Generation PDF Author: Kathleen McKeown
Publisher: Cambridge University Press
ISBN: 9780521438025
Category : Computers
Languages : en
Pages : 264

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Book Description
Kathleen McKeown explores natural language text and presents a formal analysis of problems in a computer program, TEXT.

User Modelling in Text Generation

User Modelling in Text Generation PDF Author: Cecile Paris
Publisher: Bloomsbury Publishing
ISBN: 1474246516
Category : Language Arts & Disciplines
Languages : en
Pages : 240

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Book Description
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.

Lexical Semantics and Knowledge Representation in Multilingual Text Generation

Lexical Semantics and Knowledge Representation in Multilingual Text Generation PDF Author: Manfred Stede
Publisher: Springer Science & Business Media
ISBN: 146155179X
Category : Computers
Languages : en
Pages : 230

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Book Description
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.

Teaching Generation Text

Teaching Generation Text PDF Author: Lisa Nielsen
Publisher: John Wiley & Sons
ISBN: 1118076877
Category : Education
Languages : en
Pages : 304

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Book Description
Demonstrates how instructors can use cell phones as educational tools, outlining a wealth of innovative ideas, activities, lessons and strategies for using cell phones as schedulers, research aids, note-keeping devices and more. Original.

Natural Language Generation

Natural Language Generation PDF Author: G.A. Kempen
Publisher: Springer Science & Business Media
ISBN: 9400936451
Category : Computers
Languages : en
Pages : 460

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Book Description
Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986

The Linguistic Basis of Text Generation

The Linguistic Basis of Text Generation PDF Author: Laurence Danlos
Publisher: Cambridge University Press
ISBN: 9780521108492
Category : Language Arts & Disciplines
Languages : en
Pages : 0

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Book Description
This study presents an original and penetrating analysis of the complex problems surrounding the automatic generation of natural language text. Laurence Danlos provides a valuable critical review of research in this important and increasingly active field and goes on to describe a theoretical model that is thoroughly grounded in linguistic principles. The model emphasises the semantic, syntactic and lexical constraints that must be dealt with when establishing a relationship between meaning and form and it is consideration of such linguistic constraints that determines Danlos' generation algorithm. The book concludes with a description of a generation system based on this algorithm which produces texts in several domains and also a system for the synthesis of spoken messages from semantic representation. The book is a significant addition to the literature on text generation and will be of particular interest to all computational linguists and AI researchers who have wrestled with the problem of vocabulary selection.

Advanced Applications of Generative AI and Natural Language Processing Models

Advanced Applications of Generative AI and Natural Language Processing Models PDF Author: Obaid, Ahmed J.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 505

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Book Description
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

Deep Learning Approaches to Text Production PDF Author: Shashi Narayan
Publisher: Morgan & Claypool Publishers
ISBN: 1681737590
Category : Computers
Languages : en
Pages : 201

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Book Description
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.

Empirical Methods in Natural Language Generation

Empirical Methods in Natural Language Generation PDF Author: Emiel Krahmer
Publisher: Springer Science & Business Media
ISBN: 3642155723
Category : Computers
Languages : en
Pages : 363

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Book Description
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.

Aspects of Automated Natural Language Generation

Aspects of Automated Natural Language Generation PDF Author: Robert Dale
Publisher: Springer Science & Business Media
ISBN: 9783540553991
Category : Computers
Languages : en
Pages : 328

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Book Description
This volume presents the proceedings of the Sixth International Workshop on Automated Natural Language Generation held in Castel Ivano, Trento, Italy, April 5-7, 1992. Besides an invited lecture by Nadia Magnenat-Thalmann, a well-known researcher in computer animation, on creating and visualizing speech and emotion, the volume includes the 17 thouroughly reviewed papers accepted for presentation, selected out of the submissions to the Workshop, as well as 11 statements contributed to panels on multilinguality and generation or extending language generation to multiple media. The accepted papers by leading researchers from Japan, North America and Europe fall in sections on generator system architecture, issues in realisation, issues in discourse structure, and beyond traditional generation.