Natural Language Processing and Chinese Computing, Ming Zhou; Guodong Zhou; Dongyan Zhao; Qun Liu; Le
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 Рейтинг: 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.
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 Рейтинг: Цена: 52170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
Автор: Dimitris N. Christodoulakis Название: Natural Language Processing - NLP 2000 ISBN: 3540676058 ISBN-13(EAN): 9783540676058 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the Second International Conference on Natural Language Processing, NLP 2000. Topics covered include: tokenization and morphological analysis; lexical knowledge representation; parsing and discourse analysis; and anaphora resolution.
Автор: Alexander Franz Название: Automatic Ambiguity Resolution in Natural Language Processing ISBN: 3540620044 ISBN-13(EAN): 9783540620044 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Dealing with empiricism in natural language processing this text introduces an approach to the the issue of automatic ambiguity resolution, based on statistical models of text. An effective implementation strategy is also described, which is directly useful for natural language analysis.
Автор: Karen Sparck Jones; Julia R. Galliers Название: Evaluating Natural Language Processing Systems ISBN: 3540613099 ISBN-13(EAN): 9783540613091 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focusing on natural language processing systems, this text analyzes evaluation concepts, relates systems to their environments and develops a framework for proper evaluation. The book reviews practice and strategies in the field, covering systems for specific tasks and core language processors.
Автор: Mokrane Bouzeghoub; Zoubida Kedad; Elisabeth Metai Название: Natural Language Processing and Information Systems ISBN: 3540419438 ISBN-13(EAN): 9783540419433 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These are the refereed post-proceedings of the 5th International Conference on Application of Natural Language to Information Systems, NLDB 2000, held in Versailles, France, in June 2000.
Автор: Keh-Yih Su; Jun`ichi Tsujii; Jong-Hyeok Lee; Oi Ye Название: Natural Language Processing – IJCNLP 2004 ISBN: 3540244751 ISBN-13(EAN): 9783540244752 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Elisabete Ranchod; Nuno J. Mamede Название: Advances in Natural Language Processing ISBN: 3540438297 ISBN-13(EAN): 9783540438298 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These are the refereed proceedings of the Third International Conference PorTAL 2002 - Portugal for Natural Language Processing, held in Faro, Portugal, in June 2002.
Автор: Stefan Wermter; Ellen Riloff; Gabriele Scheler Название: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing ISBN: 3540609253 ISBN-13(EAN): 9783540609254 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Based on conference proceedings, this book presents revised papers. Also included, and written with the novice reader in mind, is an introductory survey by the volume editors. The volume presents the state of the art in current approaches to NLP.
Автор: Miguel Filgueiras; Luis Damas; Nelma Moreira; Ana Название: Natural Language Processing ISBN: 3540536787 ISBN-13(EAN): 9783540536789 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These proceedings of an advanced school in AI have a textbook character. The topics were chosen to provide a balanced overview of the most important ideas in natural language processing today.
Автор: Aarne Ranta; Bengt Nordstr?m Название: Advances in Natural Language Processing ISBN: 3540852867 ISBN-13(EAN): 9783540852865 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. This work covers papers that address various issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Автор: Karen Jensen; George E. Heidorn; Stephen D. Richar Название: Natural Language Processing: The PLNLP Approach ISBN: 1461363896 ISBN-13(EAN): 9781461363897 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information.
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