Deep Learning for the Identification of Decision Modelling Components from Text
- 1 January 2021
- book chapter
- Published by Springer Nature
- p. 158-171
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Deriving Decision Models from Process Models by Enhanced Decision Mining2016
- Discovering Decision Models from Event Logs2016
- Automatic process model discovery from textual methodologies2015
- Glove: Global Vectors for Word Representation2014
- Text Classification Techniques in Oil Industry Applications2014
- Predicting abnormal returns from news using text classificationQuantitative Finance, 2012
- Process Model Generation from Natural Language Text2011
- Policy-Driven Process Mapping (PDPM): Discovering process models from business policiesDecision Support Systems, 2009
- Process Discovery from Model and Text Artefacts2007
- Workflow mining: discovering process models from event logsIEEE Transactions on Knowledge and Data Engineering, 2004