Abstract. Although humans are the ultimate “natural language generators”, the area of psycholinguistic modeling has been somewhat underrepresented in recent approaches to Natur...
SUMTIME-MOUSAM is a Natural Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from Numerical Weather Prediction (NWP) data. It has been ...
Somayajulu Sripada, Ehud Reiter, Ian Davy, Kristia...
SkillSum is an Artificial Intelligence (AI) and Natural Language Generation (NLG) system that produces short feedback reports for people who are taking online tests which check th...
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Abstract. This paper presents the ONTOSUM system which uses Natural Language Generation (NLG) techniques to produce textual summaries from Semantic Web ontologies. The main contrib...
When building natural language generation applications it is desireable to have the possibility of assembling modules that use different techniques for each one of the specific g...
We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information ...
The GIVE Challenge is a new Internetbased evaluation effort for natural language generation systems. In this paper, we motivate and describe the software infrastructure that we de...
Alexander Koller, Donna Byron, Justine Cassell, Ro...