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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Empirical Methods in Natural Language Generation: Data-Oriented Methods and Empirical Evaluation

Empirical Methods in Natural Language Generation: Data-Oriented Methods and Empirical Evaluation

Krahmer, Emiel
Theune, Mariet

Paperback

DatabasesGeneral ComputersSystem Administration

ISBN10: 3642155723
ISBN13: 9783642155727
Publisher: Springer
Published: Sep 9 2010
Pages: 353
Weight: 1.20
Height: 0.80 Width: 6.20 Depth: 9.00
Language: English
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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