Work

Extracting Decision Model and Notation models from text using deep learning techniques

Year: 2022

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2022.118667

Authors: Alexandre Goossens, Johannes De Smedt, Jan Vanthienen

Institution: KU Leuven

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: bronze

Funders: Fonds Wetenschappelijk Onderzoek, KU Leuven, Vlaamse regering

Awards: G3857873116, Theory, algorithms and tools for generic solutions to knowledge-intensive business problems from formal specifications, G5653589078, PRODIGI: Process-Decision Integration for KnowledGe-Intensive Process Management

OpenAlex ID: W4293217070

FWCI: 3.125

Cites: 57

Cited by: 15

Related to: 10