36 citations · 44 across the 5 of their papers we have counts for
Showing 2021 · cs.AIShow all
2 papers · 2 filters
cs.AI2021★ 2 cited
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
Ivan Donadello, Anthony Hunter, Stefano Teso +1
Automated persuasion systems (APS) aim to persuade a user to believe something by entering into a dialogue in which arguments and counterarguments are exchanged. To maximize the pr…
cs.AI2021★ 2 cited
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
Patrizio Bellan, Mauro Dragoni, Chiara Ghidini +2
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…