Explainable NLLP: advancements in explainable AI for natural legal language processing (2025)
- Authors:
- Autor USP: NONATO, LUIS GUSTAVO - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; DIREITO; PROCESSAMENTO DE LINGUAGEM NATURAL; PESQUISA
- Keywords: Explainable AI
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
17. Parcerias e meios de implementação
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Workshop on Automated Semantic Analysis of Information in Legal Text - ASAIL
-
ABNT
RESCK, Lucas et al. Explainable NLLP: advancements in explainable AI for natural legal language processing. 2025, Anais.. Harvard: IAAIL, 2025. Disponível em: https://visualdslab.com/papers/ExplainableNLLP. Acesso em: 18 fev. 2026. -
APA
Resck, L., Moreno-Vera, F., Veiga, T., Paucar, G., Fajreldines, E., Klafke, G., et al. (2025). Explainable NLLP: advancements in explainable AI for natural legal language processing. In Proceedings. Harvard: IAAIL. Recuperado de https://visualdslab.com/papers/ExplainableNLLP -
NLM
Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. Explainable NLLP: advancements in explainable AI for natural legal language processing [Internet]. Proceedings. 2025 ;[citado 2026 fev. 18 ] Available from: https://visualdslab.com/papers/ExplainableNLLP -
Vancouver
Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. Explainable NLLP: advancements in explainable AI for natural legal language processing [Internet]. Proceedings. 2025 ;[citado 2026 fev. 18 ] Available from: https://visualdslab.com/papers/ExplainableNLLP - Facing the high-dimensions: inverse projection with radial basis functions
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