Davide Liga

Orcid: 0000-0003-1124-0299

According to our database1, Davide Liga authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Fine-tuning GPT-3 for legal rule classification.
Comput. Law Secur. Rev., November, 2023

Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments.
Proceedings of the New Frontiers in Artificial Intelligence, 2023

An Example of Argumentation Scheme from Liability: The Case of Vicarious Liability.
Proceedings of the New Frontiers in Artificial Intelligence, 2023

Testing Spatial Reasoning of Large Language Models: the Case of Tic-Tac-Toe.
Proceedings of the 1st Workshop on Artificial Intelligence for Perception and Artificial Consciousness (AIxPAC 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Hybrid Artificial Intelligence to extract patterns and rules from argumentative and legal texts.
PhD thesis, 2022

Transfer Learning for Deontic Rule Classification: The Case Study of the GDPR.
Proceedings of the Legal Knowledge and Information Systems, 2022

Deontic Sentence Classification Using Tree Kernel Classifiers.
Proceedings of the Intelligent Systems and Applications, 2022

Derogations Analysis of European Legislation Through Hybrid AI Approach.
Proceedings of the Electronic Government and the Information Systems Perspective, 2022

2021
Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda.
Proceedings of the Legal Knowledge and Information Systems, 2021

2020
Combining Tree Kernels and Tree Representations to Classify Argumentative Stances.
Proceedings of the Joint Proceedings of Workshops AI4LEGAL2020, 2020

Argumentation Schemes as Templates? Combining Bottom-up and Top-down Knowledge Representation.
Proceedings of the 20th Workshop on Computational Models of Natural Argument co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), 2020

Transfer Learning with Sentence Embeddings for Argumentative Evidence Classication.
Proceedings of the 20th Workshop on Computational Models of Natural Argument co-located with the 8th International Conference on Computational Models of Argument (COMMA 2020), 2020

Uncertainty in Argumentation Schemes: Negative Consequences and Basic Slippery Slope.
Proceedings of the Logic and Argumentation - Third International Conference, 2020

2019
Detecting "Slippery Slope" and Other Argumentative Stances of Opposition Using Tree Kernels in Monologic Discourse.
Proceedings of the Rules and Reasoning - Third International Joint Conference, 2019

Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels.
Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

Classifying argumentative stances of opposition using Tree Kernels.
Proceedings of the ACAI 2019: 2nd International Conference on Algorithms, 2019


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