Search Results for author: Patrizio Bellan

Found 3 papers, 0 papers with code

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

no code implementations31 Mar 2022 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 the construction of conversational information seeking (CIS) systems.

Few-Shot Learning

PET: A new Dataset for Process Extraction from Natural Language Text

no code implementations9 Mar 2022 Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini, Simone Paolo Ponzetto

Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions.

Process Extraction from Text: state of the art and challenges for the future

no code implementations7 Oct 2021 Patrizio Bellan, Mauro Dragoni, Chiara Ghidini

Automatic Process Discovery aims at developing algorithmic methodologies for the extraction and elicitation of process models as described in data.

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