Transforming unstructured natural language descriptions into measurable process performance indicators using Hidden Markov Models
作者：
Highlights：
• We propose an approach to make natural language PPI descriptions measurable.
• The approach transforms unstructured descriptions into a structured notation.
• The fully automated approach builds on Hidden Markov Models to parse descriptions.
• Quantitative evaluation demonstrates the applicability of the approach in practice.
摘要
•We propose an approach to make natural language PPI descriptions measurable.•The approach transforms unstructured descriptions into a structured notation.•The fully automated approach builds on Hidden Markov Models to parse descriptions.•Quantitative evaluation demonstrates the applicability of the approach in practice.
论文关键词：Performance measurement,Process Performance Indicators,Natural language processing,Hidden Markov Models,Model alignment
论文评审过程：Received 2 September 2016, Revised 29 May 2017, Accepted 26 June 2017, Available online 27 June 2017, Version of Record 3 July 2017.
论文官网地址：https://doi.org/10.1016/j.is.2017.06.005
