Transforming Business Rules Into Natural Language Text

TL;DR

This paper presents a system design for natural language generation that enhances eBusiness model documentation by converting formal descriptions into natural language text.

Contribution

It introduces an NLG architecture tailored for eBusiness models, focusing on enriching formal descriptions with necessary information for natural language output.

Findings

Effective integration of formal descriptions with natural language generation.

Enhanced documentation process for eBusiness models.

Framework supports automatic generation of descriptive texts.

Abstract

The aim of the project presented in this paper is to design a system for an NLG architecture, which supports the documentation process of eBusiness models. A major task is to enrich the formal description of an eBusiness model with additional information needed in an NLG task.