文章基本信息

标题：Real versus Template-Based Natural Language Generation: A False Opposition?
本地全文：下载
作者：Kees van Deemter ; Mariët Theune ; Emiel Krahmer 等
期刊名称：Computational Linguistics
印刷版ISSN：0891-2017
电子版ISSN：1530-9312
出版年度：2005
卷号：31
期号：1
页码：15-24
DOI：10.1162/0891201053630291
语种：English
出版社：MIT Press
摘要：This article challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic well-foundedness, and quality of output. Some recent NLG systems that call themselves “template-based” will illustrate our claims.