activity
20162023
most citedPET: An Annotated Dataset for Process Extraction from Natural Language Text

36 citations · 66 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.AI2022★ 1 cited

Nirdizati: an Advanced Predictive Process Monitoring Toolkit

Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1

Predictive Process Monitoring is a field of Process Mining that aims at predicting how an ongoing execution of a business process will develop in the future using past process exec…

cs.CL2022★ 3 cited

Leveraging pre-trained language models for conversational information seeking from text

Patrizio Bellan, Mauro Dragoni, Chiara Ghidini

Recent advances in Natural Language Processing, and in particular on the construction of very large pre-trained language representation models, is opening up new perspectives on th…

cs.LO2022★ 3 cited

Computing unsatisfiable cores for LTLf specifications

Marco Roveri, Claudio Di Ciccio, Chiara Di Francescomarino +1

Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a de-facto standard to produce specifications in many application domains (e.g., planning, business process m…

cs.CL2022★ 36 cited

PET: An Annotated Dataset for Process Extraction from Natural Language Text

Patrizio Bellan, Han van der Aa, Mauro Dragoni +2

Process extraction from text is an important task of process discovery, for which various approaches have been developed in recent years. However, in contrast to other information…

cs.AI2022★ 14 cited

Explainable Predictive Process Monitoring: A User Evaluation

Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino +4

Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also…