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Patrizio Bellan
Patrizio Bellan
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Title
Cited by
Cited by
Year
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
P Bellan, M Dragoni, C Ghidini, H van der Aa, SP Ponzetto
arXiv preprint arXiv:2110.03754, 2021
202021
Extracting business process entities and relations from text using pre-trained language models and in-context learning
P Bellan, M Dragoni, C Ghidini
International Conference on Enterprise Design, Operations, and Computing …, 2022
182022
PET: an annotated dataset for process extraction from natural language text tasks
P Bellan, H van der Aa, M Dragoni, C Ghidini, SP Ponzetto
International Conference on Business Process Management, 315-321, 2022
152022
A Qualitative Analysis of the State of the Art in Process Extraction from Text
P Bellan, M Dragoni, C Ghidini
CEUR-WS.org, 0
13*
Process extraction from natural language text: the pet dataset and annotation guidelines
P Bellan, M Dragoni, C Ghidini, S Ponzetto, H van der Aa
NL4AI 2022: Sixth Workshop on Natural Language for Artificial Intelligence …, 2022
72022
Detecting inappropriate comments to news
P Bellan, C Strapparava
AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018
42018
Leveraging pre-trained language models for conversational information seeking from text
P Bellan, M Dragoni, C Ghidini
arXiv preprint arXiv:2204.03542, 2022
32022
PET: An Annotated Dataset for Process Extraction from Natural Language Text
P Bellan, H van der Aa, M Dragoni, C Ghidini, SP Ponzetto
arXiv preprint arXiv:2203.04860, 2022
22022
Assisted Process Knowledge Graph Building Using Pre-trained Language Models
P Bellan, M Dragoni, C Ghidini
International Conference of the Italian Association for Artificial …, 2022
12022
Experiment Maker: a Tool to create Experiments with GPT-3 easily
P Bellan, M Dragoni, C Ghidini
EKAW 2022: Companion Proceedings of the 23rd International Conference on …, 2022
12022
Process Extraction from Natural Language Text.
P Bellan
BPM (PhD/Demos), 53-60, 2020
12020
Guidelines for Process Model Annotation in Text
P Bellan, M Dragoni, C Ghidini, H van der Aa, S Ponzetto
2023
Process Extraction form Natural Language Text
P Bellan
BPM 2020: Best Dissertation Award, Doctoral Consortium, and Demonstration …, 2020
2020
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