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US$ 69.97
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
Paperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
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Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
US$ 64.85
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Add to basketPaperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Graph Learning and Network Science for Natural Language Processing (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032224576 ISBN 13: 9781032224572
Language: English
US$ 73.39
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Add to basketPaperback. Condition: new. Paperback. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning. Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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US$ 77.44
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Add to basketCondition: New. Muskan Garg is a postdoctoral research associate at the University of Florida, USA, whose research focuses on the problems of natural language processing (NLP), information retrieval, and social media analysis. She received her Masters a.
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Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
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Graph Learning and Network Science for Natural Language Processing (Computational Intelligence Techniques)
Published by CRC Press 2022-12-12, 2022
ISBN 10: 1032224568 ISBN 13: 9781032224565
Language: English
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Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032224568 ISBN 13: 9781032224565
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Graph Learning and Network Science for Natural Language Processing
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032224568 ISBN 13: 9781032224565
Language: English
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US$ 181.74
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Add to basketCondition: New. Dr. Muskan Garg is a Postdoctoral research associate at University of Florida, whose research focuses on the problems in natural language processing, information retrieval, and social media analysis. She received her Masters and PhD from.
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Graph Learning and Network Science for Natural Language Processing
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032224568 ISBN 13: 9781032224565
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models.Features:Presents a comprehensive study of the interdisciplinary graphical approach to NLPCovers recent computational intelligence techniques for graph-based neural network modelsDiscusses advances in random walk-based techniques, semantic webs, and lexical networksExplores recent research into NLP for graph-based streaming dataReviews advances in knowledge graph embedding and ontologies for NLP approachesThis book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.
