36 citations · 44 across the 5 of their papers we have counts for
3 papers · 1 filter
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
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…
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…