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Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation (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 (Lecture Notes in Computer Science, 5790)
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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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23,5 x 15,5 cm. 352 p. (English language). Original boards (softcover) with title to spine and front cover. Boards with slight signs of wear. Inside very good condition. (= Lecture Notes in Artifical Intelligence, 5790). =================== LIEBE KUNDEN, ICH MACHE MEINE DIESJÄHRIGE HERBSTAKTION MIT 30% AUF DEN GESAMTEN BESTAND. DIE AKTION LÄUFT BIS EINSCHLIESSLICH SONNTAG 25. OKTOBER. WICHTIG: DER 30%-RABATT WIRD ERST NACH IHRER BESTELLUNG ABGEZOGEN, SIE ERHALTEN EINE EMAIL MIT DEN AKTUALISIERTEN ZAHLUNGSINFOS VON MIR. ICH FREUE MICH WIE IMMER AUF IHR INTERESSE AN MEINEN SELTENEN BÜCHERN, ARCHIVALIEN UND UNIKATEN.====================. Seller Inventory # 33857BB
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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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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
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up to date resultsFast conference proceedingsState-of-the-art reportUp to date resultsFast conference proceedingsState-of-the-art reportNatural language generation (NLG) is a subfield of natural language processing (NLP) that is. Seller Inventory # 5050867
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Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation
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