Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation: 5790 (Lecture Notes in Computer Science, 5790) - Softcover
Synopsis
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
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Empirical Methods in Natural Language Generation. Data-Oriented Methods and Empirical Evaluation.
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Empirical Methods in Natural Language Generation
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research. 353 pp. Englisch. Seller Inventory # 9783642155727
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Empirical Methods in Natural Language Generation
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Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation
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Empirical Methods in Natural Language Generation | Data-oriented Methods and Empirical Evaluation
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Taschenbuch. Condition: Neu. Empirical Methods in Natural Language Generation | Data-oriented Methods and Empirical Evaluation | Emiel Krahmer (u. a.) | Taschenbuch | x | Englisch | 2010 | Springer | EAN 9783642155727 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107436067
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Empirical Methods in Natural Language Generation : Data-oriented Methods and Empirical Evaluation
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ISBN 10: 3642155723
ISBN 13: 9783642155727
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research. Seller Inventory # 9783642155727
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Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation (Lecture Notes in Computer Science, 5790)
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