Empirical Methods in Natural Language Generation Data-oriented Methods and Empirical Evaluation

Taal: Engels
Empirical Methods in Natural Language Generation

Samenvatting

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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Productspecificaties

Inhoud

Taal
Engels
Bindwijze
Paperback
Druk
1
Verschijningsdatum
september 2010
Afmetingen
23,5 x 15,7 x 2 cm
Aantal pagina's
353 pagina's
Illustraties
Nee

Betrokkenen

Auteur
Emiel Jacques Krahmer
Redacteur
Emiel Jacques Krahmer
Co-redacteur
Mariet Theune
Uitgever
Springer

EAN

EAN
9783642155727

Overige kenmerken

Extra groot lettertype
Nee
NUR code
958
Subtitel
Data-oriented Methods and Empirical Evaluation

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