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Empirical Methods in Natural Language Generation: Data-Oriented Methods and Empirical Evaluation (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - Couverture souple

 
9783642155727: Empirical Methods in Natural Language Generation: Data-Oriented Methods and Empirical Evaluation (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Couverture souple
ISBN 10 : 3642155723 ISBN 13 : 9783642155727
Editeur : Springer, 2010

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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Éditeur
Springer
Date d'édition
2010
Langue
anglais
ISBN 10 
3642155723
ISBN 13 
9783642155727
Reliure
Broché
Numéro d'édition
1
Nombre de pages
364
Éditeur
Krahmer Emiel
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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