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ORCIDDavide Liga
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2020 – today
- 2023
[j1]Davide Liga
, Livio Robaldo:
Fine-tuning GPT-3 for legal rule classification. Comput. Law Secur. Rev. 51: 105864 (2023)- [c14]Davide Liga, Luca Pasetto:
Testing Spatial Reasoning of Large Language Models: the Case of Tic-Tac-Toe. AIxPAC@AI*IA 2023: 64-79 - [c13]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: 115-131 - [c12]Davide Liga:
An Example of Argumentation Scheme from Liability: The Case of Vicarious Liability. JSAI-isAI Workshops 2023: 132-147 - 2022
- [b1]Davide Liga:
Hybrid Artificial Intelligence to extract patterns and rules from argumentative and legal texts. University of Luxembourg, 2022 - [c11]Monica Palmirani, Davide Liga:
Derogations Analysis of European Legislation Through Hybrid AI Approach. EGOVIS 2022: 123-137 - [c10]Davide Liga, Monica Palmirani:
Deontic Sentence Classification Using Tree Kernel Classifiers. IntelliSys (1) 2022: 54-73 - [c9]Davide Liga, Monica Palmirani:
Transfer Learning for Deontic Rule Classification: The Case Study of the GDPR. JURIX 2022: 200-205 - 2021
- [c8]Monica Palmirani, Francesco Sovrano, Davide Liga, Salvatore Sapienza, Fabio Vitali:
Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda. JURIX 2021: 68-75 - 2020
- [c7]Davide Liga, Monica Palmirani:
Uncertainty in Argumentation Schemes: Negative Consequences and Basic Slippery Slope. CLAR 2020: 259-278 - [c6]Davide Liga, Monica Palmirani:
Transfer Learning with Sentence Embeddings for Argumentative Evidence Classication. CMNA@COMMA 2020: 11-20 - [c5]Davide Liga, Monica Palmirani:
Argumentation Schemes as Templates? Combining Bottom-up and Top-down Knowledge Representation. CMNA@COMMA 2020: 51-56 - [c4]Davide Liga, Monica Palmirani:
Combining Tree Kernels and Tree Representations to Classify Argumentative Stances. ASLD@ISWC 2020: 12-23
2010 – 2019
- 2019
- [c3]Davide Liga, Monica Palmirani:
Classifying argumentative stances of opposition using Tree Kernels. ACAI 2019: 17-22 - [c2]Davide Liga:
Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels. ArgMining@ACL 2019: 92-97 - [c1]Davide Liga, Monica Palmirani:
Detecting "Slippery Slope" and Other Argumentative Stances of Opposition Using Tree Kernels in Monologic Discourse. RuleML+RR 2019: 180-189
Coauthor Index
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