Extracting Decision Models from Text

KU Leuven scientists published the paper “Extracting Decision Model and Notation models from text using deep learning techniques“. It is the first attempt to use deep learning to extract DMN models from text. They classify sentences describing logic or dependencies, then they extract decision dependencies from sentences; and finally labeled and tagged dataset is made available for decision model extraction. It would be interesting to see how this technique is applied to a real-world use case. Link

This entry was posted in Decision Modeling, Discoveries, DMN, Natural Language Processing. Bookmark the permalink.

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