Abstract
Decisions are of significant value to organisations. Business decisions are often written down in textual documents, and modelling them is a tedious and time-consuming task. Although decision modelling has seen a surge of interest since the introduction of the Decision Model and Notation (DMN) standard, limited research has been conducted regarding automatically extracting decision models from the text. In this paper, we propose a text mining technique to automatically extract the decisions and their dependencies from natural language text to build the decision requirements diagram. A case-based evaluation is shown for the proposed mining approach with promising results. This approach can serve as a groundwork for further research in the field of decision automation.
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