Representation processing natural language (21 Ergebnisse)

Soft cover. Zustand: Very Good. 1st Edition.

Softcover. Zustand: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Salissures sur la tranche. Edition 2000. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Stains on the edge. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations.…

hardcover. Zustand: Very Good.

Hardcover. Zustand: 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.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: 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.…

Paperback. Zustand: Brand New. 2nd edition. 541 pages. 9.25x6.10x1.10 inches. In Stock.

Buch. Zustand: 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.…

Hardcover. Zustand: Brand New. 2nd edition. 541 pages. 9.25x6.10x1.34 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: 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. …

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 482 | Sprache: Englisch | Produktart: Bücher | The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems.

Zustand: Gut. Zustand: Gut | Seiten: 482 | Sprache: Englisch | Produktart: Bücher | The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems.

Paperback. Zustand: Brand New. 459 pages. 8.75x6.00x1.50 inches. In Stock.

Zustand: New. The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems. Editor(s): Iwanska, Lucja; Shapiro, Stuart C. Series: American Association for Artificial Intelligence. Num Pages: 480 pages, Illustrations, ports. BIC Classification: UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 224 x 155 x 35. Weight in Grams: 703. . 2000. Illustrated. paperback. . . . . Books ship from the US and Ireland. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 544 | Sprache: Englisch | Produktart: Bücher | 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.…

Hardcover. Zustand: Brand New. 369 pages. 8.25x5.75x1.25 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 544 | Sprache: Englisch | Produktart: Bücher | 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.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - No detailed description available for 'Representation and Processing of Natural Language'.

Hardcover. Zustand: gut. 2008. Research in Natural Language Processing is critically dependent on adequate electronic text resources and a rich representation of lexical knowledge. Their dynamic interaction is explored in this collection of papers, selected from contributions to the 9th conference on Natural Language Processing (KONVENS 2008). Detailangaben zum Buch - Text Resources and Lexical Knowledge: Selected Papers from the 9th Conference on Natural Language Processing Konvens 2008 (Text, Translation, . Computational Processing [TTCP], 8) EAN (ISBN-13): 978311020734 ISBN (ISBN-10): 3110207354 Gebundene Ausgabe Erscheinungsjahr: 2008 Herausgeber: De Gruyter Mouton Sprache: Englisch ISBN/EAN: 3110207354 ISBN: 3-11-020735-4, 978-3-11-020735-4 Autor des Buches: storrer, siebert, würz, geyken, kay alex, storr, michael sieber, kay alexander Titel des Buches: text processing papers, text resources, natural language processing, can translation, paper knowledge, selected papers from the, language journal Autor/in: Angelika Storrer Titel: Text, Translation, Computational Processing [TTCP]; Text Resources and Lexical Knowledge - Selected Papers from the 9th Conference on Natural Language Processing KONVENS 2008 Verlag: De Gruyter Mouton; de Gruyter Mouton 260 Seiten Erscheinungsjahr: 2008 Sprache: Englisch Sprachwissenschaft, Literaturwissenschaft/Allgemeine und Vergleichende Sprachwissenschaft; Lexikographie; Verstehen; Natürliche Sprache; Computerlinguistik und Korpuslinguistik Text Resources and Lexical Knowledge Text Resources and Lexical Knowledge Selected Papers from the 9th Conference on Natural Language Processing Konvens 2008 (Text, Translation, . Computational Processing [TTCP], 8) Storrer, Angelika In englischer Sprache. 260 pages.…