Poster (Scientific congresses and symposiums)
Irrelevant Sentences Detection for Automated Business Process Modeling
Jamar, Julie
20218th International Conference on Statistical Language and Speech Processing
 

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Keywords :
Irrelevant Sentences; BPMN; NLP
Abstract :
[en] In Business Process Management, a full automation of the modeling process can reduce the resource requirements by up to 60%. Current work propose solutions only working when process descriptions are sequential and do not contain noise like irrelevant information. Because process descriptions are unstructured, described on a meta level, it may contain both relevant and irrelevant information; parts of the textual descriptions might be irrelevant for the generated process model, and it is important to identify and ignore them. Interestingly, no study addressing this problem was found, although this provide the starting point for the construction of a modeling engine.
Disciplines :
Management information systems
Author, co-author :
Jamar, Julie ;  Université de Liège - ULiège > HEC Liège : UER > UER Opérations
Language :
English
Title :
Irrelevant Sentences Detection for Automated Business Process Modeling
Publication date :
2021
Event name :
8th International Conference on Statistical Language and Speech Processing
Event organizer :
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
Event place :
Cardiff, United Kingdom
Event date :
14-10-2021 to 16-10-2020
By request :
Yes
Audience :
International
Available on ORBi :
since 21 January 2022

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