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Data-Intensive Text Processing with MapReduce
Published by Morgan & Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
First Edition
Condition: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Data-Intensive Text Processing with MapReduce
Published by Morgan & Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
First Edition
£ 8.97
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7)
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
£ 8.60
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies)
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7)
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
£ 8.59
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Data-Intensive Text Processing With MapReduce
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data-Intensive Text Processing With MapReduce
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
£ 23.13
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7)
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
£ 31.76
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7)
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
First Edition
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Pretrained Transformers for Text Ranking: BERT and Beyond (Synthesis Lectures on Human Language Technologies)
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Pretrained Transformers for Text Ranking : BERT and Beyond
Published by Springer International Publishing, 2021
ISBN 10: 3031010531 ISBN 13: 9783031010538
Language: English
£ 76.31
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search, instances of the task can also be found in many natural language processing (NLP) applications.This book provides an overview of text ranking with neural network architectures known as transformers, of which BERT (Bidirectional Encoder Representations from Transformers) is the best-known example. The combination of transformers and self-supervised pretraining has been responsible for a paradigm shift in NLP, information retrieval (IR), and beyond. This book provides a synthesis of existing work as a single point of entry for practitioners who wish to gain a better understanding of how to apply transformers to text ranking problems and researchers who wish to pursue work in this area. It covers a wide range of modern techniques, grouped into two high-level categories: transformer models that perform reranking inmulti-stage architectures and dense retrieval techniques that perform ranking directly. Two themes pervade the book: techniques for handling long documents, beyond typical sentence-by-sentence processing in NLP, and techniques for addressing the tradeoff between effectiveness (i.e., result quality) and efficiency (e.g., query latency, model and index size). Although transformer architectures and pretraining techniques are recent innovations, many aspects of how they are applied to text ranking are relatively well understood and represent mature techniques. However, there remain many open research questions, and thus in addition to laying out the foundations of pretrained transformers for text ranking, this book also attempts to prognosticate where the field is heading.
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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Human Language Technologies, 7)
Published by Morgan and Claypool Publishers, 2010
ISBN 10: 1608453421 ISBN 13: 9781608453429
Language: English
£ 5.96
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Add to basketpaperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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£ 89.65
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Pretrained Transformers for Text Ranking
Published by Springer International Publishing, Springer Nature Switzerland Okt 2021, 2021
ISBN 10: 3031010531 ISBN 13: 9783031010538
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 76.31
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Add to basketTaschenbuch. Condition: Neu. Neuware -The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation of text ranking is search, instances of the task can also be found in many natural language processing (NLP) applications.This book provides an overview of text ranking with neural network architectures known as transformers, of which BERT (Bidirectional Encoder Representations from Transformers) is the best-known example. The combination of transformers and self-supervised pretraining has been responsible for a paradigm shift in NLP, information retrieval (IR), and beyond. This book provides a synthesis of existing work as a single point of entry for practitioners who wish to gain a better understanding of how to apply transformers to text ranking problems and researchers who wish to pursue work in this area. It covers a wide range of modern techniques, grouped into two high-level categories: transformer models that perform reranking inmulti-stage architectures and dense retrieval techniques that perform ranking directly. Two themes pervade the book: techniques for handling long documents, beyond typical sentence-by-sentence processing in NLP, and techniques for addressing the tradeoff between effectiveness (i.e., result quality) and efficiency (e.g., query latency, model and index size). Although transformer architectures and pretraining techniques are recent innovations, many aspects of how they are applied to text ranking are relatively well understood and represent mature techniques. However, there remain many open research questions, and thus in addition to laying out the foundations of pretrained transformers for text ranking, this book also attempts to prognosticate where the field is heading.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.
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Foreign Nursing English - situational dialogue 1(Chinese Edition)
ISBN 10: 7560053394 ISBN 13: 9787560053394
£ 39.17
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Add to basketpaperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2006-11-01 Pages: 140 Language: Chinese Publisher: Foreign Language Teaching and Research Press Information Title: Foreign Nursing English - situational dialogue 1 Price: 14.9 yuan Author : ( Philippines ) Jimmy Lin (Lin . Jimmy) editor Publisher: Foreign Language Teaching and Research Press Publication Date :2006-11-1ISBN: 9787560053394 words: pages: 140 Edition : 1 Binding: Paperback : Weight: Editor's Summary foreign nursing English series Recommended materials for the.Four Satisfaction guaranteed,or money back.
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£ 45.58
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£ 45.58
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Data-Intensive Text Processing with MapReduce
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2010
ISBN 10: 3031010086 ISBN 13: 9783031010088
Language: English
£ 30.68
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary.
