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Automatic Syntactic Analysis Based on Selectional Preferences, Alexander Gelbukh; Hiram Calvo


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Автор: Alexander Gelbukh; Hiram Calvo
Название:  Automatic Syntactic Analysis Based on Selectional Preferences
ISBN: 9783030089085
Издательство: Springer
Классификация:



ISBN-10: 3030089088
Обложка/Формат: Soft cover
Страницы: 165
Вес: 0.28 кг.
Дата издания: 2018
Серия: Studies in Computational Intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: VIII, 165 p.
Размер: 234 x 156 x 10
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.
Дополнительное описание: Introduction.- First approach: sentence analysis using rewriting rules.- Second approach: constituent grammars.- Third approach: dependency trees.- Evaluation of the dependency parser.- Applications.- Prepositional phrase attachment disambiguation.- The u


Syntactic Form and Discourse Function in Natural Language Generation

Автор: Creswell
Название: Syntactic Form and Discourse Function in Natural Language Generation
ISBN: 1138990779 ISBN-13(EAN): 9781138990777
Издательство: Taylor&Francis
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Цена: 51030.00 T
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Описание: Interest in statistical natural language generation is rapidly increasing. This work sheds important light from theoretical linguistics on the type of information crucial to statistical NLG algorithms.

Automatic Syntactic Analysis Based on Selectional Preferences

Автор: Gelbukh
Название: Automatic Syntactic Analysis Based on Selectional Preferences
ISBN: 3319740539 ISBN-13(EAN): 9783319740539
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it.

A Short Introduction to Preferences: Between AI and Social Choice

Автор: Francesca Rossi, Kristen Brent Venable, Toby Walsh
Название: A Short Introduction to Preferences: Between AI and Social Choice
ISBN: 1608455866 ISBN-13(EAN): 9781608455867
Издательство: Mare Nostrum (Eurospan)
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Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence, multiagent systems, and computational complexity. This book provides a concise introduction to the main research lines in this field, covering aspects such as preference modelling, uncertainty reasoning, social choice, stable matching, and computational aspects of preference aggregation and manipulation. The book is centered around the notion of preference reasoning, both in the single-agent and the multi-agent setting. It presents the main approaches to modeling and reasoning with preferences, with particular attention to two popular and powerful formalisms, soft constraints and CP-nets. The authors consider preference elicitation and various forms of uncertainty in soft constraints. They review the most relevant results in voting, with special attention to computational social choice. Finally, the book considers preferences in matching problems.The book is intended for students and researchers who may be interested in an introduction to preference reasoning and multi-agent preference aggregation, and who want to know the basic notions and results in computational social choice.

Representing and Reasoning with Qualitative Preferences: Tools and Applications

Автор: Ganesh Ram Santhanam, Samik Basu, Vasant Honavar
Название: Representing and Reasoning with Qualitative Preferences: Tools and Applications
ISBN: 1627058397 ISBN-13(EAN): 9781627058391
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
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Описание: Provides a tutorial introduction to modern techniques for representing and reasoning about qualitative preferences with respect to a set of alternatives. The syntax and semantics of several languages for representing preference languages, including CP-nets, TCP-nets, CI-nets, and CP-theories, are reviewed. Some key problems in reasoning about preferences are introduced.

Preferences and Decisions

Автор: Salvatore Greco; Ricardo Alberto Marques Pereira;
Название: Preferences and Decisions
ISBN: 3642423345 ISBN-13(EAN): 9783642423345
Издательство: Springer
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Цена: 204040.00 T
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Описание: Drawing on papers presented at the TRENTO 2009 International Workshop on Preferences and Decisions, this volume covers recent research in preference modeling and decision theory, and brings together some of the world`s leading experts in this field.

Preferences and Decisions under Incomplete Knowledge

Автор: Janos Fodor; Bernard De Baets; Patrice Perny
Название: Preferences and Decisions under Incomplete Knowledge
ISBN: 3790824747 ISBN-13(EAN): 9783790824742
Издательство: Springer
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Цена: 158380.00 T
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Описание: Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 68950.00 T
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Syntactic Wordclass Tagging

Автор: H. van Halteren
Название: Syntactic Wordclass Tagging
ISBN: 9048152968 ISBN-13(EAN): 9789048152964
Издательство: Springer
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Цена: 181670.00 T
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Описание: In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a hot topic. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan- tial amount of human involvement.

Language Acquisition and Syntactic Theory

Автор: A.E. Pierce
Название: Language Acquisition and Syntactic Theory
ISBN: 9401051356 ISBN-13(EAN): 9789401051354
Издательство: Springer
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Цена: 46570.00 T
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Описание: The theory of language acquisition is a young but increasingly active field. Language Acquisition and Syntactic Theory presents one of the first detailed studies of comparative syntax acquisition.

Syntactic n-grams in Computational Linguistics

Автор: Grigori Sidorov
Название: Syntactic n-grams in Computational Linguistics
ISBN: 3030147703 ISBN-13(EAN): 9783030147709
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book is about a new approach in the field of computational linguistics related to the idea of constructing n-grams in non-linear manner, while the traditional approach consists in using the data from the surface structure of texts, i.e., the linear structure.In this book, we propose and systematize the concept of syntactic n-grams, which allows using syntactic information within the automatic text processing methods related to classification or clustering. It is a very interesting example of application of linguistic information in the automatic (computational) methods. Roughly speaking, the suggestion is to follow syntactic trees and construct n-grams based on paths in these trees. There are several types of non-linear n-grams; future work should determine, which types of n-grams are more useful in which natural language processing (NLP) tasks.This book is intended for specialists in the field of computational linguistics. However, we made an effort to explain in a clear manner how to use n-grams; we provide a large number of examples, and therefore we believe that the book is also useful for graduate students who already have some previous background in the field.

Locality and the architecture of syntactic dependencies

Автор: Lopez, Luis
Название: Locality and the architecture of syntactic dependencies
ISBN: 0230507727 ISBN-13(EAN): 9780230507722
Издательство: Springer
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Цена: 107130.00 T
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Описание: A study on minimalist syntax this book develops an empirical argument for a crash-proof computational system. This framework allows for novel analyses of quirky subjects in Icelandic and Spanish, indefinite SE in Spanish and different types of expletive constructions in English, French, German, Spanish, Italian and Icelandic.

Syntactic Wordclass Tagging

Автор: H. van Halteren
Название: Syntactic Wordclass Tagging
ISBN: 0792358961 ISBN-13(EAN): 9780792358961
Издательство: Springer
Рейтинг:
Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a hot topic. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan- tial amount of human involvement.


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