Rule-based Approach to Text Generation in Natural Language - Automated Text Markup Language (ATML3)

The need for text online is quite large. The majority of websites still make use of text as their main representative form for information. Most people can easily comprehend issues in text form and often prefer this type information for communication. Still the prices for written texts have been falling over the last years. We present a system that can generate natural language text in multiple different languages, in large quantities and at low costs due to the utilization of multiple layers of rule based reasoning.

• Type: Journal
• Year: 2015
• Where: RULEML
• Authors: Armin Bauer, Niki Hoedoro, Adela Schneider
• Keywords: Internet Technology, RULEML 2015