| 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 | 41 | 2022 |
| 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 | 30 | 2021 |
| 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 | 23 | 2022 |
| A Qualitative Analysis of the State of the Art in Process Extraction from Text P Bellan, M Dragoni, C Ghidini CEUR-WS.org, 0 | 17* | |
| 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 | 13 | 2022 |
| 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 | 5 | 2022 |
| Leveraging pre-trained language models for conversational information seeking from text P Bellan, M Dragoni, C Ghidini arXiv preprint arXiv:2204.03542, 2022 | 4 | 2022 |
| Detecting inappropriate comments to news P Bellan, C Strapparava AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 4 | 2018 |
| 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 | 2 | 2022 |
| Process Knowledge Extraction and Knowledge Graph Construction Through Prompting: A Quantitative Analysis P Bellan, M Dragoni, C Ghidini Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 1634-1641, 2024 | 1 | 2024 |
| Experiment Maker: A Tool to Create Experiments with GPT-3 Easily. P Bellan, M Dragoni, C Ghidini EKAW (Companion), 2022 | 1 | 2022 |
| Process Extraction from Natural Language Text. P Bellan BPM (PhD/Demos), 53-60, 2020 | 1 | 2020 |
| A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability S Ghanbari Haez, M Segala, P Bellan, S Magnolini, L Sanna, ... International Conference on Artificial Intelligence in Medicine, 213-223, 2024 | | 2024 |
| PET Annotation Visualizer: A Tool to Visualize the Process Model Extraction from Text (PET) Dataset P Bellan, M Dragoni International Conference on Applications of Natural Language to Information …, 2024 | | 2024 |
| Building Certified Medical Chatbots: Overcoming Unstructured Data Limitations with Modular RAG L Sanna, P Bellan, S Magnolini, M Segala, SG Haez, M Consolandi, ... Proceedings of the First Workshop on Patient-Oriented Language Processing …, 2024 | | 2024 |
| 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 |
Mauro DragoniHead of the Intelligent Digital Agents Research Group at Fondazione Bruno Kessler.Verified email at fbk.eu
