Davide Liga

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Negative Consequences

Argumentation Schemes

Directional Relations

Top Venues

JSAI-isAI Workshops

Publications

Davide Liga, Livio Robaldo
Fine-tuning GPT-3 for legal rule classification. Comput. Law Secur. Rev. 51 (2023)
Davide Liga, Alessia Fidelangeli, Réka Markovich
Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments. JSAI-isAI Workshops (2023)
Davide Liga
An Example of Argumentation Scheme from Liability: The Case of Vicarious Liability. JSAI-isAI Workshops (2023)
Davide Liga, Luca Pasetto
Testing Spatial Reasoning of Large Language Models: the Case of Tic-Tac-Toe. AIxPAC@AI*IA (2023)
Davide Liga, Monica Palmirani
Transfer Learning for Deontic Rule Classification: The Case Study of the GDPR. JURIX (2022)
Monica Palmirani, Davide Liga
Derogations Analysis of European Legislation Through Hybrid AI Approach. EGOVIS (2022)
Davide Liga, Monica Palmirani
Deontic Sentence Classification Using Tree Kernel Classifiers. IntelliSys (1) (2022)
Monica Palmirani, Francesco Sovrano, Davide Liga, Salvatore Sapienza, Fabio Vitali
Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda. JURIX (2021)
Davide Liga, Monica Palmirani
Argumentation Schemes as Templates? Combining Bottom-up and Top-down Knowledge Representation. CMNA@COMMA (2020)
Davide Liga, Monica Palmirani
Combining Tree Kernels and Tree Representations to Classify Argumentative Stances. ASLD@ISWC (2020)
Davide Liga, Monica Palmirani
Transfer Learning with Sentence Embeddings for Argumentative Evidence Classication. CMNA@COMMA (2020)
Davide Liga, Monica Palmirani
Uncertainty in Argumentation Schemes: Negative Consequences and Basic Slippery Slope. CLAR (2020)
Davide Liga, Monica Palmirani
Classifying argumentative stances of opposition using Tree Kernels. ACAI (2019)
Davide Liga
Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels. ArgMining@ACL (2019)
Davide Liga, Monica Palmirani
Detecting "Slippery Slope" and Other Argumentative Stances of Opposition Using Tree Kernels in Monologic Discourse. RuleML+RR (2019)