Formalising natural language specifications using a cognitive linguistic/configuration based approach

作者：

Highlights：

• A method for deep processing of natural language business specifications is proposed.

• The method is based on Cognitive Linguistics and Knowledge-based Configuration.

• The method acquires vocabulary from a business glossary and parses business rules.

• The vocabulary acquisition achieves an accuracy of 96%.

• The semantic analysis of rules achieves an accuracy of 98%.

摘要

Highlights•A method for deep processing of natural language business specifications is proposed.•The method is based on Cognitive Linguistics and Knowledge-based Configuration.•The method acquires vocabulary from a business glossary and parses business rules.•The vocabulary acquisition achieves an accuracy of 96%.•The semantic analysis of rules achieves an accuracy of 98%.

论文关键词：Business rules,Business vocabulary,SBVR,Controlled natural language,Natural language processing

论文评审过程：Available online 17 April 2015, Version of Record 3 September 2015.

论文官网地址：https://doi.org/10.1016/j.is.2015.04.003