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 …

… Albert Gatt and Ehud Reiter Department of Computing Science University of Aberdeen
Aberdeen AB24 3UE, UK {a.gatt,e.reiter}@abdn.ac.uk … For example, the language used in …

Effective presentation of data for decision support is a major issue when large volumes of
data are generated as happens in the Intensive Care Unit (ICU). Although the most common …

Data-to-text systems are Natural Language Generation (NLG) systems which generate texts
from noninguistic inpūt data, such as sensordātā ānd event logs. Such systems need to …

We examine the problem of generating definite noun phrases that are appropriate referring
expressions; that is, noun phrases that (a) successfully identify the intended referent to the …

One of the main challenges in automatically generating textual weather forecasts is
choosing appropriate English words to communicate numeric weather data. A corpus-based …

The BLEU metric has been widely used in NLP for over 15 years to evaluate NLP systems,
especially in machine translation and natural language generation. I present a structured …

I survey some recent applications-oriented NL generation systems, and claim that despite very
different theoretical backgrounds, these systems have a remarkably similar architecture in …

We consider the evaluation problem in Natural Language Generation (NLG) and present
results for evaluating several NLG systems with similar functionality, including a knowledge-…

stop is a Natural Language Generation (nlg) system that generates short tailored smoking
cessation letters, based on responses to a four-page smoking questionnaire. A clinical trial …