This book explains how to build Natural Language Generation (NLG)
systems - computer software systems which use techniques from artificial
intelligence and computational linguistics to automatically generate
understandable texts in English or other human languages, either
in isolation or as part of multimedia documents, Web pages, and speech
output systems. Typically starting from some non-linguistic representation
of information as input, 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 also discusses
engineering issues such as system architecture, requirements analysis,
and the integration of text generation into multimedia and speech
output systems.
%0 Book
%1 Reiter2000
%A Reiter, Ehud
%A Dale, Robert
%B Natural Language Processing
%D 2000
%I Cambridge University Press
%K NT2OD java language linux natural toread ubuntu
%R DOI: 10.2277/052102451X
%T Building Natural Language Generation Systems
%U http://prp.contentdirections.com/mr/cupress.jsp/doi=10.2277/052102451X
%X This book explains how to build Natural Language Generation (NLG)
systems - computer software systems which use techniques from artificial
intelligence and computational linguistics to automatically generate
understandable texts in English or other human languages, either
in isolation or as part of multimedia documents, Web pages, and speech
output systems. Typically starting from some non-linguistic representation
of information as input, 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 also discusses
engineering issues such as system architecture, requirements analysis,
and the integration of text generation into multimedia and speech
output systems.
@book{Reiter2000,
abstract = {This book explains how to build Natural Language Generation (NLG)
systems - computer software systems which use techniques from artificial
intelligence and computational linguistics to automatically generate
understandable texts in English or other human languages, either
in isolation or as part of multimedia documents, Web pages, and speech
output systems. Typically starting from some non-linguistic representation
of information as input, 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 also discusses
engineering issues such as system architecture, requirements analysis,
and the integration of text generation into multimedia and speech
output systems.},
added-at = {2009-11-19T17:34:08.000+0100},
author = {Reiter, Ehud and Dale, Robert},
biburl = {https://www.bibsonomy.org/bibtex/234796e0e0fff2eb6e1d8088b89c56faf/butonic},
doi = {DOI: 10.2277/052102451X},
file = {:C\:\\Users\\Bugra\\Documents\\Studium\\DA\\Literatur\\Reiter2000.pdf:PDF},
interhash = {46ffa79b50f3241aaa7d7b389cbb8ab2},
intrahash = {34796e0e0fff2eb6e1d8088b89c56faf},
keywords = {NT2OD java language linux natural toread ubuntu},
owner = {Bugra},
publisher = {Cambridge University Press},
series = {Natural Language Processing},
timestamp = {2009-11-19T17:34:08.000+0100},
title = {Building Natural Language Generation Systems},
url = {http://prp.contentdirections.com/mr/cupress.jsp/doi=10.2277/052102451X},
year = 2000
}