Model Generation for Natural Language Interpretation and Analysis: 2953 (Lecture Notes in Computer Science, 2953) - Tapa blanda
Sinopsis
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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Reseña del editor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Model Generation for Natural Language Interpretation and Analysis (Lecture Notes in Computer Science, 2953, Band 2953)
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Model Generation for Natural Language Interpretation and Analysis
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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-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2004
ISBN 10: 3540210695
ISBN 13: 9783540210696
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Paperback. Condición: New. 2004 ed. 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. Nº de ref. del artículo: LU-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 (Lecture Notes in Computer Science)
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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
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540210696
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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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