Extracting Decision Model and Notation models from text using deep learning techniques
作者:
Highlights:
• First time the use of deep learning is investigated to extract DMN models from text.
• Deep learning can be used to classify sentences describing logic or dependencies.
• Deep learning can be used to extract decision dependencies from sentences.
• First labeled and tagged dataset is made available for decision model extraction.
• First decision tool extraction from text is made available to everyone.
摘要
•First time the use of deep learning is investigated to extract DMN models from text.•Deep learning can be used to classify sentences describing logic or dependencies.•Deep learning can be used to extract decision dependencies from sentences.•First labeled and tagged dataset is made available for decision model extraction.•First decision tool extraction from text is made available to everyone.
论文关键词:Deep learning,Decision Model and Notation,DMN,Decision model extraction
论文评审过程:Received 8 February 2022, Revised 8 August 2022, Accepted 21 August 2022, Available online 26 August 2022, Version of Record 5 September 2022.
论文官网地址:https://doi.org/10.1016/j.eswa.2022.118667