Narayan shashi (21 résultats)

Hardcover. Etat : New. 1st Edition. One of the meanings of the word olio is a miscellany . the books in the aleph olio series contain a selection of the finest writing to be had on a variety of themes and present India in ways that it has seldom been seen before. The country small towns and villages have often inspired its finest writing and this is exemplified by the stories and true-life accounts in this book. (jacket).…

Hardcover. Etat : New. ISBN:9789362247766,270pp.

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Taschenbuch. Etat : Neu. Deep Learning Approaches to Text Production | Shashi Narayan (u. a.) | Taschenbuch | Synthesis Lectures on Human Language Technologies | xxiv | Englisch | 2020 | Springer | EAN 9783031010453 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 abs.…

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.…

Buch. Etat : Neu. Bio-inspired Computing Techniques | Shashi Narayan | Buch | Englisch | 2026 | DISCOVERY PUBLISHING HOUSE | EAN 9789362247766 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The idea of taking inspiration from nature to solve computational problems is not new. Since the inception of artificial intelligence, researchers have turned to biological processes and ecosystems as models of adaptive, resilient, and efficient problem-solving. Organisms in nature face constant evolutionary pressures, forcing them to develop optimal strategies for survival through adaptive skills and complex behaviors. These emergent behaviors, honed over millions of years, offer insights that can be emulated in computational models to achieve highly effective solutions to human problems. Bio-inspired algorithms capture these adaptive, self-organizing, and resilient qualities, allowing for the development of computational models that mirror nature's creativity and problem-solving prowess.…