Case-Based Generation of Regulatory Documents and Their Semantic Relatedness

Abstract

Regulatory documents are required or provided by authorities in many domains. They commonly point out relevant incidents for specific scenarios. For those they have to present suitable preventive and reactive measures. We introduce an approach to connect a case-based description of the incidents structure with a pre-calculated word embedding and describe how to adapt this word embedding to different context. This paper shows how to use case-based methods to retrieve, adapt, and reuse incidents descriptions. Subsequently they are used to generate new regulatory documents via case-based reasoning.