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Representation Learning for Natural Language Processing, Liu Zhiyuan, Lin Yankai, Sun Maosong


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Автор: Liu Zhiyuan, Lin Yankai, Sun Maosong
Название:  Representation Learning for Natural Language Processing
ISBN: 9789811555756
Издательство: Springer
Классификация:




ISBN-10: 9811555753
Обложка/Формат: Paperback
Страницы: 334
Вес: 0.50 кг.
Дата издания: 18.09.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 99 illustrations, color; 32 illustrations, black and white; xxiv, 334 p. 131 illus., 99 illus. in color.
Размер: 23.39 x 15.60 x 1.91 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 1. ​Representation Learning and NLP.- 2. Word Representation.- 3. Compositional Semantics.- 4. Sentence Representation.- 5. Document Representation.- 6. Sememe Knowledge Representation.- 7. World Knowledge Representation.- 8. Network Representation.- 9. Cross-Modal Representation.- 10. Resources.- 11. Outlook.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
Наличие на складе: Есть
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Neural Network Methods in Natural Language Processing

Автор: Goldberg Yoav
Название: Neural Network Methods in Natural Language Processing
ISBN: 1627052984 ISBN-13(EAN): 9781627052986
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Cognitively Inspired Natural Language Processing

Автор: Abhijit Mishra, Pushpak Bhattacharyya
Название: Cognitively Inspired Natural Language Processing
ISBN: 9811315159 ISBN-13(EAN): 9789811315152
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing.

Natural Language Processing and Information Systems

Автор: Christian Kop; G?nther Fliedl; Heinrich C. Mayr; E
Название: Natural Language Processing and Information Systems
ISBN: 3540346163 ISBN-13(EAN): 9783540346166
Издательство: Springer
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Цена: 60550.00 T
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Описание: Constitutes the proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. This book presents papers that are organized in topical sections on concepts extraction and ontology, query processing, and NLP techniques.

Brain-Computer Interfacing

Автор: Rao, Rajesh P. N.
Название: Brain-Computer Interfacing
ISBN: 0521769418 ISBN-13(EAN): 9780521769419
Издательство: Cambridge Academ
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Цена: 82370.00 T
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Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.

Natural Language Processing and Information Systems

Автор: Zoubida Kedad; Nadira Lammari; Elisabeth M?tais; F
Название: Natural Language Processing and Information Systems
ISBN: 3540733507 ISBN-13(EAN): 9783540733508
Издательство: Springer
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Цена: 88500.00 T
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Описание: Constitutes the refereed proceedings of the 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, held in Paris, France in June 2007. This book covers natural language for database query processing, email management, semantic annotation, text clustering, and ontology engineering.

Aspects of Natural Language Processing

Автор: Malgorzata Marciniak; Agnieszka Mykowiecka
Название: Aspects of Natural Language Processing
ISBN: 3642047343 ISBN-13(EAN): 9783642047343
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Leonard Bolc has played an important role in the Polish computer science community. This Festschrift, published to honor Leonard Bolc on his 75th birthday, includes papers by leading researchers, former students and colleagues to celebrate his scientific career.

Coarse-to-Fine Natural Language Processing

Автор: Slav Petrov; Eugene Charniak
Название: Coarse-to-Fine Natural Language Processing
ISBN: 3642427499 ISBN-13(EAN): 9783642427497
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents a coarse-to-fine framework for learning and inference in large statistical models for natural language processing. The text shows applications of this fast, accurate approach to syntactic parsing, speech recognition and machine translation.

Latest Advances in Inductive Logic Programming

Автор: Muggleton Stephen, Watanabe Hiroaki
Название: Latest Advances in Inductive Logic Programming
ISBN: 1783265086 ISBN-13(EAN): 9781783265084
Издательство: World Scientific Publishing
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Цена: 85530.00 T
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Описание: This book represents a selection of papers presented at the Inductive Logic Programming (ILP) workshop held at Cumberland Lodge, Great Windsor Park.

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.

Representation Learning for Natural Language Processing

Автор: Liu Zhiyuan, Lin Yankai, Sun Maosong
Название: Representation Learning for Natural Language Processing
ISBN: 9811555729 ISBN-13(EAN): 9789811555725
Издательство: Springer
Рейтинг:
Цена: 37260.00 T
Наличие на складе: Поставка под заказ.
Описание: 1. ​Representation Learning and NLP.- 2. Word Representation.- 3. Compositional Semantics.- 4. Sentence Representation.- 5. Document Representation.- 6. Sememe Knowledge Representation.- 7. World Knowledge Representation.- 8. Network Representation.- 9. Cross-Modal Representation.- 10. Resources.- 11. Outlook.

Finite-State Methods and Natural Language Processing

Автор: Anssi Yli-Jyr?; Lauri Karttunen; Juhani Karhum?ki
Название: Finite-State Methods and Natural Language Processing
ISBN: 3540354670 ISBN-13(EAN): 9783540354673
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-proceedings of the 5th International Workshop on Finite-State Methods in Natural Language Processing, FSMNLP 2005, held in Helsinki, Finland, September 2005. This book contains topics that include morphology, optimality theory, some special FSM families, weighted FSM algorithms, and FSM representations.


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