Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardcover. Condition: Very Good. Cover has very light rubbing but otherwise looks bright and sharp. Binding partially cracked on title page but otherwise tight throughout the rest. Pages are clean and crisp. Overall in very good condition.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardcover. Condition: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 202 pages.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Hardcover. Condition: new. Hardcover. Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Readers will come away with a firm understanding of the major methods and applications of these topics that rely on graph-based representations and algorithms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Condition: New. pp. 202 136 Illus.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press CUP, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Readers will come away with a firm understanding of the major methods and applications of these topics that rely on graph-based representations and algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Readers will come away with a firm understanding of the major methods and applications of these topics that rely on graph-based representations and algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 462.
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Hardcover. Condition: Brand New. 1st edition. 208 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2011
ISBN 10: 0521896134 ISBN 13: 9780521896139
Language: English
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. Readers will come away with a firm understanding of the major methods and applications of these topics that rely on graph-based represe.