Advances in Natural Language Processing, Elisabete Ranchod; Nuno J. Mamede

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
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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.

Автор: Flavius Frasincar; Ashwin Ittoo; Le Minh Nguyen; E
Название: Natural Language Processing and Information Systems
ISBN: 3319595687 ISBN-13(EAN): 9783319595689
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, held in Liege, Belgium, in June 2017. The 22 full papers, 19 short papers, and 16 poster papers presented were carefully reviewed and selected from 125 submissions.

Автор: Vladimir Fomichov A.
Название: Semantics-Oriented Natural Language Processing
ISBN: 1489982809 ISBN-13(EAN): 9781489982803
Издательство: Springer
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Цена: 83810.00 T
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Описание: Exploring key issues in developing semantics-oriented natural language processing systems, this book describes structured meanings of NL-texts by defining a new class of formal languages called standard knowledge languages (SK languages) using systems theory.

Автор: Chris Biemann; Siegfried Handschuh; Andr? Freitas;
Название: Natural Language Processing and Information Systems
ISBN: 3319195808 ISBN-13(EAN): 9783319195803
Издательство: Springer
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Цена: 59630.00 T
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Описание: The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.

Автор: Juanzi Li; Heng Ji; Dongyan Zhao; Yansong Feng
Название: Natural Language Processing and Chinese Computing
ISBN: 3319252062 ISBN-13(EAN): 9783319252063
Издательство: Springer
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Цена: 67080.00 T
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Описание: This book constitutes the refereed proceedings of the 4th CCF Conference, NLPCC 2015, held in Nanchang, China, in October 2015. The 35 revised full papers presented together with 22 short papers were carefully reviewed and selected from 238 submissions. The papers are organized in topical sections on fundamentals on language computing;

Автор: M?rio Rodrigues; Ant?nio Teixeira
Название: Advanced Applications of Natural Language Processing for Performing Information Extraction
ISBN: 3319155628 ISBN-13(EAN): 9783319155623
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web.

Автор: Paul Mc Kevitt
Название: Integration of Natural Language and Vision Processing
ISBN: 0792333799 ISBN-13(EAN): 9780792333791
Издательство: Springer
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Цена: 144410.00 T
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Описание: This collection contains a set of edited papers addressing computational models and systems for the integration of natural language processing and vision processing. The papers focus on site descriptions such as that of the large Japanese $500 million Real World Computing (RWC) project.

Автор: Paul Mc Kevitt
Название: Integration of Natural Language and Vision Processing
ISBN: 0792341147 ISBN-13(EAN): 9780792341147
Издательство: Springer
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Цена: 130430.00 T
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Описание: Although there is progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP) there has been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains papers on the advances in the integration of NLP and VP with AI.

Автор: Li Deng; Yang Liu
Название: Deep Learning in Natural Language Processing
ISBN: 9811052085 ISBN-13(EAN): 9789811052088
Издательство: Springer
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Цена: 102480.00 T
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Описание: A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Автор: John I. Tait
Название: Charting a New Course: Natural Language Processing and Information Retrieval.
ISBN: 9401781672 ISBN-13(EAN): 9789401781671
Издательство: Springer
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Цена: 130430.00 T
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Описание: Karen Sparck Jones is one of the major figures of 20th century and early 21st Century computing and information processing.

Автор: Paul Mc Kevitt
Название: Integration of Natural Language and Vision Processing
ISBN: 0792337581 ISBN-13(EAN): 9780792337584
Издательство: Springer
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Цена: 121110.00 T
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Описание: Integrating the two sub-areas of artificial intelligence, this study encompasses natural language processing (NLP) and vision processing (VP). It also discusses topics such as historical surveys and philosophical issues, and processing communication through a variety of different means.

Автор: Manning, Christopher D. Schutze, Hinrich
Название: Foundations of statistical natural language processing
ISBN: 0262133601 ISBN-13(EAN): 9780262133609
Издательство: MIT Press
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Цена: 129790.00 T
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Описание:

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.