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 …

Generating novel and useful concepts is essential during the early design stage to explore a
large variety of design opportunities, which usually requires advanced design thinking ability …

Novel concepts are essential for design innovation and can be generated with the aid of
data stimuli and computers. However, current generative design algorithms focus on …

This paper introduces a system that incorporates several strategies based on scientific
models of how the brain records and recovers memories. Methodologically, an incremental …

This book deals with “Computer Aided Writing”, CAW for short. The contents of that is a
sector of Knowledge based technics and Knowledge Management. The role of Knowledge …

Data on observed and forecasted environmental conditions, such as weather, air quality and
pollen, are offered in a great variety in the web and serve as basis for decisions taken by a …

Abstract Natural Language Generation (NLG) systems have been developed to generate
text in multiple domains, including personalized patient information. However, their …

Understanding the current situation is critical in every natural disaster or crisis. Therefore,
there is a need for accurate and up-to-date information about the scope, extent and impact of …

In every disaster time is the enemy and getting accurate and helpful real time information for
supporting descision support is critical. Data sources for Risk Management Platforms are …

Content order is critical in natural language generation (NLG) for emphasizing the focus of a
generated text passage. In this paper, we propose a novel MR (meaning representation)-to …