natural language processing knowledge (36 Ergebnisse)

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780521363006.

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.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780521363006.

ehem. Bibliotheksexpl., Rückensignatur, Bibliotheksstempel innen, ansonsten einwandfrei, former library book, very good condition, as new 0444873562 Mit offener Rechnung beliefern wir gerne Buchhandlungen, Bibliotheken, Antiquariate, Schulen, Galerien und Institutionen. Bei neuen uns noch unbekannten privaten Kunden erlauben wir uns die Bitte um Vorauskasse. Wir bitten um Ihr Verständnis. Sprache: Englisch Gewicht in Gramm: 550 8°, Hardcover, laminated cloth, geb. in OLeineneinband, 296 pp.

Addison-Wesley, Massachusetts, 1987. 475 S., Ln.U.--- - gutes Exemplar - 874 Gramm.

Paperback. Zustand: Brand New. 104 pages. 9.25x6.10x9.25 inches. In Stock.

*geb. Zustand: Gut. Auflage: Reprint. 490 Seiten , 872 g - Einband und Innenteil sehr gut und sauber, unkenntlich gemachter Namensaufkleber, OSchutzumschlag am Rücken vom Licht gebleicht u. vereinzelt mit leichten Randknittern (siehe auch mein Foto) [m] Sprache: Englisch Gewicht in Gramm: 872.

Feb 01, 1989. Zustand: gebraucht; sehr gut. praktisch ungebraucht.

Zustand: as new. Wie neu/Like new.

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

Hardcover. Zustand: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.

Reading, Addison-Wesley, 1987. (2nd revised). (XII) 476 pp. cloth + dustjacket. Bibliography. *library sticker on dustjacket and endpaper, library stamp verso title page, otherwise in good condition*.

Taschenbuch. Zustand: Neu. Neuware -Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during training and, therefore, struggle to incorporate external world knowledge, such as named entities, their relations, common sense, and domain-specific content. Incorporating knowledge into the training and inference of language models is critical to their ability to represent language accurately. Additionally, knowledge is essential in achieving higher levels of intelligence that cannot be attained through statistical learning of input text patterns alone. In this book, we will review recent developmentsin the field of natural language processing, specifically focusing on the role of knowledge in language representation. We will examine how pre-trained language models like GPT-4 and ChatGPT are limited in their ability to capture external world knowledge and explore various approaches to incorporate knowledge into language models. Additionally, we will discuss the significance of knowledge in enabling higher levels of intelligence that go beyond statistical learning on input text patterns. Overall, this survey aims to provide insights into the importance of knowledge in natural language processing and highlight recent advances in this field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 108 pp. Englisch.

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.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during training and, therefore, struggle to incorporate external world knowledge, such as named entities, their relations, common sense, and domain-specific content. Incorporating knowledge into the training and inference of language models is critical to their ability to represent language accurately. Additionally, knowledge is essential in achieving higher levels of intelligence that cannot be attained through statistical learning of input text patterns alone. In this book, we will review recent developmentsin the field of natural language processing, specifically focusing on the role of knowledge in language representation. We will examine how pre-trained language models like GPT-4 and ChatGPT are limited in their ability to capture external world knowledge and explore various approaches to incorporate knowledge into language models. Additionally, we will discuss the significance of knowledge in enabling higher levels of intelligence that go beyond statistical learning on input text patterns. Overall, this survey aims to provide insights into the importance of knowledge in natural language processing and highlight recent advances in this field.

Taschenbuch. Zustand: Neu. Knowledge-augmented Methods for Natural Language Processing | Meng Jiang (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9789819707492 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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

Taschenbuch. Zustand: Neu. A Corpus Based Approach to Generalising a Chatbot System | Applying Simple Natural Language Processing Techniques to Build Knowledge Base of ALICE Chatbot System | Bayan Abu Shawar | Taschenbuch | 184 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844387063 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Natural Scientific Language Processing and Research Knowledge Graphs | First International Workshop, NSLP 2024, Hersonissos, Crete, Greece, May 27, 2024, Proceedings | Georg Rehm (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9783031657931 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Open Access book constitutes the refereed proceedings of the First International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs, NSLP 2024, held in Hersonissos, Crete, Greece, on May 27, 2024.The 10 full papers and 11 short papers included in this volume were carefully reviewed and selected from a total of 26 submissions.The proceedings aims to bring together researchers working on the processing, analysis, transformation and making use-of scientific language and research knowledge graphs including all relevant sub-topics.

Taschenbuch. Zustand: Neu. Neuware -This Open Access book constitutes the refereed proceedings of the First International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs, NSLP 2024, held in Hersonissos, Crete, Greece, on May 27, 2024.The 10 full papers and 11 short papers included in this volume were carefully reviewed and selected from a total of 26 submissions.The proceedings aims to bring together researchers working on the processing, analysis, transformation and making use-of scientific language and research knowledge graphs including all relevant sub-topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.

Zustand: New.

Taschenbuch. Zustand: Neu. A Practical Guide to Hybrid Natural Language Processing | Combining Neural Models and Knowledge Graphs for NLP | Jose Manuel Gomez-Perez (u. a.) | Taschenbuch | xxv | Englisch | 2021 | Springer International Publishing | EAN 9783030448325 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter not Elektronisches Buch in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment.A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter not Elektronisches Buch in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment.A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.