Search Results for author: Mauro Dragoni

Found 13 papers, 3 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 In-Context Learning

PET: An Annotated 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

Therefore, to bridge this gap, we present the PET dataset, a first corpus of business process descriptions annotated with activities, gateways, actors, and flow information.

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion

1 code implementation9 Dec 2021 Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni

and (2) How can we identify for a new user the best utility function from amongst those that we have learned?

BIG-bench Machine Learning

Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges

2 code implementations7 Oct 2021 Patrizio Bellan, Mauro Dragoni, Chiara Ghidini, Han van der Aa, Simone Paolo Ponzetto

The extraction of process models from text refers to the problem of turning the information contained in an unstructured textual process descriptions into a formal representation, i. e., a process model.

Benchmarking Model extraction +1

Modeling, Managing, Exposing, and Linking Ontologies with a Wiki-based Tool

no code implementations LREC 2014 Mauro Dragoni, Alessio Bosca, Matteo Casu, Andi Rexha

In the last decade, the need of having effective and useful tools for the creation and the management of linguistic resources significantly increased.

Decision Making Information Retrieval +1

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