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Computational Modeling of Narrative, Inderjeet Mani


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Цена: 41580.00T
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Автор: Inderjeet Mani
Название:  Computational Modeling of Narrative
ISBN: 9781608459810
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1608459810
Обложка/Формат: Paperback
Страницы: 142
Вес: 0.26 кг.
Дата издания: 01.12.2012
Серия: Synthesis lectures on human language technologies
Язык: English
Иллюстрации: Illustrations, black and white
Размер: 191 x 233 x 8
Читательская аудитория: General (us: trade)
Ключевые слова: Natural language & machine translation
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Поставляется из: Англии
Описание: Provides an overview of the principal problems, approaches, and challenges faced today in modelling the narrative structure of stories. The book introduces classical narratological concepts from literary theory and their mapping to computational approaches. It also demonstrates how research in AI and NLP has modeled character goals, causality, and time.

Computational Linguistics and Talking Robots

Автор: Hausser, Roland R.
Название: Computational Linguistics and Talking Robots
ISBN: 3642224318 ISBN-13(EAN): 9783642224317
Издательство: Springer
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Цена: 102480.00 T
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Описание: The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To build an actual robot requires hardware that provides appropriate recognition and action interfaces, and because such hardware is hard to develop the approach in this book is theoretical: the author presents an artificial cognitive agent with language as a software system called database semantics (DBS). Because a theoretical approach does not have to deal with the technical difficulties of hardware engineering there is no reason to simplify the system – instead the software components of DBS aim at completeness of function and of data coverage in word form recognition, syntactic–semantic interpretation and inferencing, leaving the procedural implementation of elementary concepts for later. In this book the author first examines the universals of natural language and explains the Database Semantics approach. Then in Part I he examines the following natural language communication issues: using external surfaces; the cycle of natural language communication; memory structure; autonomous control; and learning. In Part II he analyzes the coding of content according to the aspects: semantic relations of structure; simultaneous amalgamation of content; graph-theoretical considerations; computing perspective in dialogue; and computing perspective in text. The book ends with a concluding chapter, a bibliography and an index. The book will be of value to researchers, graduate students and engineers in the areas of artificial intelligence and robotics, in particular those who deal with natural language processing.

Computational Lexical Semantics

Автор: Edited by Patrick Saint-Dizier
Название: Computational Lexical Semantics
ISBN: 0521023203 ISBN-13(EAN): 9780521023207
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons.

The Handbook of Computational Linguistics and Natural Language Processing, Clark, 2012

Название: The Handbook of Computational Linguistics and Natural Language Processing, Clark, 2012
ISBN: 1118347188 ISBN-13(EAN): 9781118347188
Издательство: Wiley
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Цена: 40070.00 T
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Описание: The Handbook provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing.

Named Entities for Computational Linguistics

Автор: Damien Nouvel, Maud Ehrmann, Sophie Rosset
Название: Named Entities for Computational Linguistics
ISBN: 1848218389 ISBN-13(EAN): 9781848218383
Издательство: Wiley
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Цена: 146730.00 T
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Описание:

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.

The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale.

The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.


Computational Forensics

Автор: Sargur N. Srihari; Katrin Franke
Название: Computational Forensics
ISBN: 3540853022 ISBN-13(EAN): 9783540853022
Издательство: Springer
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Цена: 60550.00 T
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Описание: Constitutes the proceedings of the Second International Workshop, IWCF 2008, held in Washington, DC, USA, August 7-8, 2008. This title includes papers that are organized in topical sections on trends and challenges; scanner, printer, and prints; human identification; shoeprints; linguistics;decision making and search; and speech analysis.

State of the Art in Computational Morphology

Автор: Cerstin Mahlow; Michael Piotrowski
Название: State of the Art in Computational Morphology
ISBN: 3642041302 ISBN-13(EAN): 9783642041303
Издательство: Springer
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Цена: 79190.00 T
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Описание: From the point of view of computational linguistics, morphological resources are the basis for all higher-level applications.

Theoretical And Computational Models Of Word Learning

Автор: Gogate & Hollich
Название: Theoretical And Computational Models Of Word Learning
ISBN: 1466629738 ISBN-13(EAN): 9781466629738
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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Описание: The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. <br><br><em>Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence</em> strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.


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