One of the most important questions in applied NLG is what bene ts (orvalueadded', in
business-speak) NLG technology o ers over template-based approaches. Despite the …

This article challenges the received wisdom that template-based approaches to the
generation of language are necessarily inferior to other approaches as regards their …

Natural language generation (NLG) systems generate texts in English and other human
languages. Although they are based on many of the same linguistic and algorithmic insights …

This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

What role should evaluation play in the development of natural language generation (nlg)
techniques and systems? In this paper we describe what is involved in natural language …

In this paper we present a snapshot of endto-end NLG system evaluations as presented in
conference and journal papers1 over the last ten years in order to better understand the …

In this article, we give an overview of Natural Language Generation (NLG) from an applied
system-building perspective. The article includes a discussion of when NLG techniques …

We present the RAGS (Reference Architecture for Generation Systems) framework: a
specification of an abstract Natural Language Generation (NLG) system architecture to …

This paper highlights challenges in industrial research related to translating research in
natural language processing into commercial products. While the interest in natural …

It took a while, but natural language generation is now an established commercial software
category. It's commented upon frequently in both industry media and the mainstream press …