Building Natural Language Generation Systems

Building Natural Language Generation Systems
by Ehud Reiter / / / PDF


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This book explains how to build Natural Language Generation (NLG) systemscomputer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It is essential reading for researchers ted in NLP, AI, and HCI and for developers ted in advanced document-creation technology.

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