Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Good. Book is bent.
Lingua: Inglese
Editore: Springer (edition 1st ed. 2020), 2020
ISBN 10: 9811555729 ISBN 13: 9789811555725
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 1st ed. 2020. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 47,97
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Springer
Da: Academic Book Solutions, Medford, NY, U.S.A.
hardcover. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 47,96
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Condizione: New. pp. XXIV, 334 131 illus., 99 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,75
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,06
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 2nd ed. 2023 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
ISBN 10: 981991602X ISBN 13: 9789819916023
Da: Revaluation Books, Exeter, Regno Unito
EUR 74,61
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 541 pages. 9.25x6.10x1.10 inches. In Stock.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
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Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
ISBN 10: 9819915996 ISBN 13: 9789819915996
Da: Revaluation Books, Exeter, Regno Unito
EUR 89,87
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 541 pages. 9.25x6.10x1.34 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Representation Learning for Natural Language Processing | Zhiyuan Liu (u. a.) | Taschenbuch | xxiv | Englisch | 2020 | Springer | EAN 9789811555756 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 41,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Representation Learning for Natural Language Processing | Zhiyuan Liu (u. a.) | Taschenbuch | xx | Englisch | 2023 | Springer | EAN 9789819916023 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 86,95
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
EUR 49,09
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate andgraduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Lingua: Inglese
Editore: Posts and Telecommunications Press, 2023
ISBN 10: 7115613338 ISBN 13: 9787115613332
Da: liu xing, Nanjing, JS, Cina
EUR 100,62
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Aggiungi al carrellopaperback. Condizione: New. Paperback. Pub Date: 2023-05 Pages: 203 Publisher: Posts and Telecommunications Press This book introduces the technical principles of deep learning and its application in natural language processing (NLP). which is currently popular and has broad application prospects. It briefly analyzes the relevant models and key technologies in various application directions in this field. including Transformer. BERT. GPT. etc. It brings together important ideas and research results from many papers and .
Lingua: Inglese
Editore: Springer, Springer Nature Singapore, 2023
ISBN 10: 981991602X ISBN 13: 9789819916023
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,09
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions.The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, socialnetwork analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.