Program September 12, 2022 in Münster
Session 1: Paper presentations (14:30 - 16:00, location: SP4 room 109)
Lena Cabrera, Sven Weinzierl, Sandra Zilker and Martin Matzner: Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings
Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini and Simone Paolo Ponzetto: PET: An Annotated Dataset for Process Extraction from Natural Language Text Tasks
Vinicius Stein Dani, Henrik Leopold, Jan Martijn E. M. van der Werf and Hajo A. Reijers: Supporting Event Log Extraction based on Matching
Session 2: Panel discussion on Challenges and Opportunities for NLP in BPM (16:30 - 18:00, location: SP4 room 109)
Panelists: Chiara Ghdini, Jan Mendling, and Hajo Reijers.
Panel host: Henrik Leopold
The NLP4BPM workshop aims to provide a forum for researchers and practitioners to present, discuss, and evaluate how natural language processing (NLP) can be used to establish new or improve existing methods, techniques, tools, and process-aware systems that support the different phases of the BPM life-cycle.
In this context, natural language can play a variety of roles. Among others, it can be used to describe processes in a comprehensible manner, define the meaning of events and activities, and it can provide support for the conduct of process analyses themselves, e.g., as an interface for process mining or modeling.
In the workshop, we welcome any contribution that considers textual content or meaning for any BPM task, this includes, but is not limited to:
Generating process models from natural language text
Automatic requirements engineering
Determining process compliance against regulatory texts
Assessing process model quality and consistency
Semantic process mining
Decision mining based on natural language attributes
Process mining based on e-mails
Conversational interfaces for BPM
Process model matching and querying
Robotic process automation
Cognitive process automation