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Synopsis
Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents.
This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way.
The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress.
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science)
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Springer, 2004
ISBN 10 : 3540210695
ISBN 13 : 9783540210696
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Paperback. Etat : Very Good. We are unable to ship to Canada at this time.Ex-library paperback in very nice condition with the usual markings and attachments. N° de réf. du vendeur UTD1419863
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Model Generation for Natural Language Interpretation and Analysis
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Model Generation for Natural Language Interpretation and Analysis (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2004
ISBN 10 : 3540210695
ISBN 13 : 9783540210696
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Paperback. Etat : new. Paperback. Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents.This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way.The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress. Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783540210696
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science, 2953)
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Model Generation for Natural Language Interpretation and Analysis
Edité par
Springer, 2004
ISBN 10 : 3540210695
ISBN 13 : 9783540210696
Ancien ou d'occasion
Couverture souple
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science, 2953)
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science, 2953)
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science)
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Model Generation for Natural Language Interpretation and Analysis
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Model Generation for Natural Language Interpretation and Analysis
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Springer Berlin Heidelberg Feb 2004, 2004
ISBN 10 : 3540210695
ISBN 13 : 9783540210696
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents.This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way.The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress. 188 pp. Englisch. N° de réf. du vendeur 9783540210696
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