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

Krahmer, Emiel (Editor)

ISBN 10: 3642155723 / ISBN 13: 9783642155727

Published by Springer-Verlag New York Inc, 2010

About this Item

1st edition. 363 pages. 9.20x6.10x0.80 inches. In Stock.

Seller Inventory # 3642155723

Bibliographic Details

• Title: Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2010
• Language: English
• ISBN 10: 3642155723
• ISBN 13: 9783642155727
• Binding: Paperback
• Condition: Brand New
• Weight: 0.55 kilograms

About this title

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.