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Chinese Lexical Semantics, Jia-Fei Hong; Qi Su; Jiun-Shiung Wu


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Автор: Jia-Fei Hong; Qi Su; Jiun-Shiung Wu
Название:  Chinese Lexical Semantics
ISBN: 9783030040147
Издательство: Springer
Классификация:




ISBN-10: 3030040143
Обложка/Формат: Soft cover
Страницы: 820
Вес: 1.26 кг.
Дата издания: 2018
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 102 illustrations, color; 2675 illustrations, black and white; xiv, 820 p. 2777 illus., 102 illus. in color.
Размер: 234 x 156 x 42
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 19th Workshop, CLSW 2018, Chiayi, Taiwan, May 26–28, 2018, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 19th Chinese Lexical Semantics Workshop, CLSW 2018, held in Chiayi, Taiwan, in May 2018. The 50 full papers and 19 short papers included in this volume were carefully reviewed and selected from 150 submissions. They are organized in the following topical sections: Lexical Semantics; Applications of Natural Language Processing; Lexical Resources; Corpus Linguistics.
Дополнительное описание: Lexical Semantics.- Applications of Natural Language Processing.- Lexical Resources.- Corpus Linguistics.


Chinese Lexical Semantics

Автор: Qin Lu; Hong Gao
Название: Chinese Lexical Semantics
ISBN: 3319271938 ISBN-13(EAN): 9783319271934
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book constitutes the thoroughly refereedpost-workshop proceedings of the 16th Chinese Lexical Semantics Workshop, CLSW2015, held in Beijing, China, in May 2015. The 64 regular and 4 short papers included in this volumewere carefully reviewed and selected from 248 submissions.

Extreme Value Theory-Based Methods for Visual Recognition

Автор: Walter J. Scheirer
Название: Extreme Value Theory-Based Methods for Visual Recognition
ISBN: 1627057005 ISBN-13(EAN): 9781627057004
Издательство: Turpin
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Цена: 68930.00 T
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Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.

Cases on Immersive Virtual Reality Techniques

Автор: Kenneth C.C. Yang
Название: Cases on Immersive Virtual Reality Techniques
ISBN: 1522559124 ISBN-13(EAN): 9781522559122
Издательство: Mare Nostrum (Eurospan)
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Цена: 209750.00 T
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Описание: As virtual reality approaches mainstream consumer use, new research and innovations in the field have impacted how we view and can use this technology across a wide range of industries. Advancements in this technology have led to recent breakthroughs in sound, perception, and visual processing that take virtual reality to new dimensions. As such, research is needed to support the adoption of these new methods and applications. Cases on Immersive Virtual Reality Techniques is an essential reference source that discusses new applications of virtual reality and how they can be integrated with immersive techniques and computer resources. Featuring research on topics such as 3D modeling, cognitive load, and motion cueing, this book is ideally designed for educators, academicians, researchers, and students seeking coverage on the applications of collaborative virtual environments.

Spreading Activation, Lexical Priming and the Semantic Web

Автор: Pace-Sigge
Название: Spreading Activation, Lexical Priming and the Semantic Web
ISBN: 3319907182 ISBN-13(EAN): 9783319907185
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book explores the interconnections between linguistics and Artificial Intelligence (AI) research, their mutually influential theories and developments, and the areas where these two groups can still learn from each other.

Predicative Forms in Natural Language and in Lexical Knowledge Bases

Автор: P. Saint-Dizier
Название: Predicative Forms in Natural Language and in Lexical Knowledge Bases
ISBN: 9048151465 ISBN-13(EAN): 9789048151462
Издательство: Springer
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Цена: 181670.00 T
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Описание: From a broad theoret- ical perspective, the notion of predicate is central to research on the syntax- semantics interface, the generative lexicon, the definition of ontology-based semantic representations, and the formation of verb semantic classes.

Dynamic Fuzzy Machine Learning

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
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Цена: 149590.00 T
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Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Chinese Lexical Semantics

Автор: Dong
Название: Chinese Lexical Semantics
ISBN: 3319495070 ISBN-13(EAN): 9783319495071
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 17th Chinese Lexical Semantics Workshop, CLSW 2016, held in Singapore, Singapore, in May 2016. The 70 regular papers included in this volume were carefully reviewed and selected from 182 submissions.

Chinese Lexical Semantics

Автор: Xinchun Su; Tingting He
Название: Chinese Lexical Semantics
ISBN: 3319143301 ISBN-13(EAN): 9783319143309
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the proceedings of the 15 Chinese Lexical Semantics Workshop, CLSW 2014, held in Macau, China, in June 2014.The 41 regular and 3 short papers included in this volume were carefully reviewed and selected from 139 submissions. They are organized in topical sections named: lexical semantics;

Chinese Lexical Semantics

Автор: Jia-Fei Hong; Yangsen Zhang; Pengyuan Liu
Название: Chinese Lexical Semantics
ISBN: 3030381889 ISBN-13(EAN): 9783030381882
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 20th Chinese Lexical Semantics Workshop, CLSW 2019, held in Chiayi, Taiwan, in June 2019. The 39 full papers and 46 short papers included in this volume were carefully reviewed and selected from 254 submissions.

Chinese Lexical Semantics

Автор: Pengyuan Liu; Qi Su
Название: Chinese Lexical Semantics
ISBN: 3642451845 ISBN-13(EAN): 9783642451843
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed selected papers from the 14th Chinese Lexical Semantics Workshop, CLSW 2013, held in Zhengzhou, China, in May 2013. The 68 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 153 submissions.

Semantic Analysis of Verbal Collocations with Lexical Functions

Автор: Alexander Gelbukh; Olga Kolesnikova
Название: Semantic Analysis of Verbal Collocations with Lexical Functions
ISBN: 3642436331 ISBN-13(EAN): 9783642436338
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book shows how collocations can be annotated with lexical functions in a computer readable dictionary, allowing precise semantic analysis in texts and effective use in such natural language applications as parsers, computer-aided learning and more.

EuroWordNet: A multilingual database with lexical semantic networks

Автор: Piek Vossen
Название: EuroWordNet: A multilingual database with lexical semantic networks
ISBN: 9048151201 ISBN-13(EAN): 9789048151202
Издательство: Springer
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Цена: 130390.00 T
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Описание: This book describes the main objective of EuroWordNet, which is the building of a multilingual database with lexical semantic networks or wordnets for several European languages.


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