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Linked Data in Linguistics, Christian Chiarcos; Sebastian Nordhoff; Sebastian


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Автор: Christian Chiarcos; Sebastian Nordhoff; Sebastian
Название:  Linked Data in Linguistics
ISBN: 9783642434969
Издательство: Springer
Классификация:





ISBN-10: 3642434967
Обложка/Формат: Paperback
Страницы: 218
Вес: 0.33 кг.
Дата издания: 13.04.2014
Язык: English
Размер: 234 x 156 x 12
Основная тема: Computer Science
Подзаголовок: Representing and Connecting Language Data and Language Metadata
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories.


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: 5300.00 р.
Наличие на складе: Есть (3 шт.)
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.

Linked data and knowledge graph

Название: Linked data and knowledge graph
ISBN: 3642540244 ISBN-13(EAN): 9783642540240
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions.

Linguistic Linked Open Data

Автор: Diana Trandab??; Daniela G?fu
Название: Linguistic Linked Open Data
ISBN: 3319329413 ISBN-13(EAN): 9783319329413
Издательство: Springer
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Цена: 6988.00 р.
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Описание: Ontological modeling of social media data.- Application of social media and linked data methodologies in real-life scenarios.- User proling and assessing the suitability of content from social media.- Extracting and linking content.- Sentiment analysis in social media and linked data.-Social data mining to create structured social media resources.

Materializing the Web of Linked Data

Автор: Nikolaos Konstantinou; Dimitrios-Emmanuel Spanos
Название: Materializing the Web of Linked Data
ISBN: 331935745X ISBN-13(EAN): 9783319357454
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data.

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

Автор: Maosong Sun; Xuanjing Huang; Hongfei Lin; Zhiyuan
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319476734 ISBN-13(EAN): 9783319476735
Издательство: Springer
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Цена: 9224.00 р.
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Описание: This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016.

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

Автор: Maosong Sun; Yang Liu; Jun Zhao
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319122762 ISBN-13(EAN): 9783319122762
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. text mining, open IE and machine reading of the Web;

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

Автор: Maosong Sun; Min Zhang; Dekang Lin; Haifeng Wang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3642414907 ISBN-13(EAN): 9783642414909
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013.

Foundations of Computational Linguistics

Автор: Roland Hausser
Название: Foundations of Computational Linguistics
ISBN: 3662496003 ISBN-13(EAN): 9783662496008
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book presents a unique approach to natural-language processing, with the ultimate goal being the creation of cognitive machines that humans can freely talk with in their respective natural language.

Foundations of Computational Linguistics

Автор: Roland Hausser
Название: Foundations of Computational Linguistics
ISBN: 3642414303 ISBN-13(EAN): 9783642414305
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a unique approach to natural-language processing, with the ultimate goal being the creation of cognitive machines that humans can freely talk with in their respective natural language.

Yearbook of Corpus Linguistics and Pragmatics 2016

Автор: Jes?s Romero-Trillo
Название: Yearbook of Corpus Linguistics and Pragmatics 2016
ISBN: 3319417320 ISBN-13(EAN): 9783319417325
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The present volume of the Yearbook of Corpus Linguistics and Pragmatics series, presents cutting-edge corpus pragmatics research on language use in new social and educational environments.
The Yearbook of Corpus Linguistics and Pragmatics offers a platform to scholars who carry out rigorous and interdisciplinary research on language in real use. Corpus Linguistics and Pragmatics have traditionally represented two paths of scientific research, parallel but often mutually exclusive and excluding. Corpus Linguistics can offer a precise methodology based on mathematics and statistics while Pragmatics strives to interpret intended meaning in real language. This series will give readers insight into how pragmatics can be used to explain real corpus data, and how corpora can illustrate pragmatic intuitions.


Computational Linguistics

Автор: Adam Przepi?rkowski; Maciej Piasecki; Krzysztof Ja
Название: Computational Linguistics
ISBN: 3642343988 ISBN-13(EAN): 9783642343988
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This presentation of the latest developments in computational linguistics covers the fast-moving field of information extraction, with papers from the CLA `11 conference held in Poland including recent successes in developing intelligent personal assistants.

Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Автор: Chen
Название: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
ISBN: 9811031673 ISBN-13(EAN): 9789811031670
Издательство: Springer
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Цена: 8385.00 р.
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Описание: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.


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