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Articles

Legal decision support systems in Cuba: some background and notes for future projects

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Pages 301-321 | Received 18 Jan 2021, Accepted 10 Jun 2021, Published online: 17 Jun 2021

References

  • Al-Abdulkarim, L., K. Atkinson, and T. Bench-Capon. 2016a. “A Methodology for Designing Systems to Reason with Legal Cases Using Abstract Dialectical Frameworks.” Artificial Intelligence and Law 24 (1): 1–49. doi:https://doi.org/10.1007/s10506-016-9178-1.
  • Al-Abdulkarim, L., K. M. Atkinson, and T. Bench-Capon. 2016b. “Statement Types in Legal Argument.” In Proceedings of JURIX 2016. IOS Press.
  • Al-Abdulkarim, L., K. Atkinson, T. Bench-Capon, S. Whittle, R. Williams, and C. Wolfenden. 2019. “Noise Induced Hearing Loss: Building an Application Using the ANGELIC Methodology.” Argument and Computation 10 (1): 5–22. doi:https://doi.org/10.3233/AAC-181005.
  • Aletras, N., D. Tsarapatsanis, D. Preoţiuc-Pietro, and V. Lampos. 2016. “Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing Perspective.” PeerJ Computer Science 2016 (10): e93. doi:https://doi.org/10.7717/peerj-cs.93.
  • Aleven, V. 1997. “Teaching Case-Based Argumentation through an Example and Models.” University of Pittsburgh.
  • Alpaydin, E. 2020. Introduction to Machine Learning. 4th ed. Cambridge, MA: MIT Press.
  • Amoroso, Y. 1994. “Proyecto Menjur: Una Alternativa Válida Para El Perfeccionamiento Del Ordenamiento Jurídico Cubano.” Informática y Derecho: Revista Iberoamericana de Derecho Informático 1994 (5): 815–824.
  • Amoroso, Y. 2018. “La Administración Pública En La Encrucijada Del Big Data.” La Habana.
  • Amoroso, Y. 2019. “Pasado, Presente y Futuro de La Informática Jurídica.” In El Derecho de Las TIC En Iberoamérica, edited by Marcelo Bauzá, 71–102. Montevideo, Uruguay: La Ley.
  • Amoroso, Y., and M. Sassi. 2000. Recopilación y Apuntes Para Una Historiografía Constitucional Cubana: Un Análisis Lexicográfico. Pisa: ILC-CNR, S.T.A.R.
  • Asamblea Nacional del Poder Popular. 2019. Constitución de La República de Cuba. La Habana, Cuba.
  • Ashley, K. D. 2011. “The Case-Based Reasoning Approach: Ontologies for Analogical Legal Argument.” In Approaches to Legal Ontologies. Law, Governance and Technology Series, Vol 1, 99–115. Springer, Dordrecht. doi:https://doi.org/10.1007/978-94-007-0120-5_6.
  • Ashley, K. D. 2017. Artificial Intelligence and Legal Analytics. Artificial Intelligence and Legal Analytics. Cambridge: Cambridge University Press. doi:https://doi.org/10.1017/9781316761380.
  • Atkinson, K., T. Bench-Capon, and D. Bollegala. 2020. “Explanation in AI and Law: Past, Present and Future.” Artificial Intelligence 289 (December): 103387. doi:https://doi.org/10.1016/j.artint.2020.103387.
  • Bench-Capon, T. 2020. “The Need for Good Old Fashioned Ai and Law.” In International Trends in Legal Informatics: A Festschrift for Erich Schweighofer, edited by C. Hötzendorfer, W. Tschohl, and F. Kummer, 23–36. Bern: Weblaw.
  • Bench-Capon, T., M. Araszkiewicz, K. Ashley, K. Atkinson, F. Bex, F. Borges, D. Bourcier, et al. 2012. “A History of AI and Law in 50 Papers: 25 Years of the International Conference on AI and Law.” Artificial Intelligence and Law 20 (3): 215–319. doi:https://doi.org/10.1007/s10506-012-9131-x.
  • Bench-Capon, T., and K. Atkinson. 2017. “Dimensions and Values for Legal CBR.” In Proceedings of JURIX 2017, 27–32. https://livrepository.liverpool.ac.uk/3013630/1/atkinson_crc.pdf.
  • Bench-Capon, T., and K. Atkinson. 2018. “Lessons from Implementing Factors with Magnitude.” In Proceedings of JURIX 2018, 11–20.
  • Bench-Capon, T., and F. P. Coenen. 1992. “Isomorphism and Legal Knowledge Based Systems.” Artificial Intelligence and Law 1 (1): 65–86. doi:https://doi.org/10.1007/BF00118479.
  • Bing, J. 2010. “Let There Be Lite: A Brief History of Legal Information Retrieval.” European Journal of Law and Technology 1 (1): 1–22.
  • Blanco, I., and D. López. 2015. “Big Data y Fair Play En El Tratamiento de Datos Personales.” Red Iberoamericana de Protección de Datos. 2015. http://www.redipd.org/noticias_todas/2015/tribuna/news/07_09_2015-ides-idphp.php.
  • Blaquier, M. 2006. “OnProc: Una Ontología Para El Proceso Jurídico.” In Congreso Internacional INFO 2006. La Habana, Cuba: IIDICT.
  • Blaquier, M. 2015. “La Similaridad de Términos En El Lenguaje Jurídico. Similaridad Semántica y Correspondencia de Nombres.” In X Conferencia Internacional de Derecho e Informática de La Habana. La Habana.
  • Blaquier, M., R. Alonso, E. Infante, A. Quintero, E. Rodríguez, and Y. Viera. 2003. “La Modelación Computacional de Los Procesos Jurídicos: Una Herramienta de Análisis.” In 2da Conferencia Iberoamericana En Sistemas, Cibernética e Informática. Orlando, FL.
  • Branting, L. Karl. 2017. “Data-Centric and Logic-Based Models for Automated Legal Problem Solving.” Artificial Intelligence and Law 25 (1): 5–27. doi:https://doi.org/10.1007/s10506-017-9193-x.
  • Branting, L. K., C. Pfeifer, B. Brown, L. Ferro, J. Aberdeen, B. Weiss, M. Pfaff, and B. Liao. 2020. “Scalable and Explainable Legal Prediction.” Artificial Intelligence and Law, June, 1–26. doi:https://doi.org/10.1007/s10506-020-09273-1.
  • Bruninghaus, S., and K. D. Ashley. 2003. “Predicting Outcomes of Case Based Legal Arguments.” In Proceedings of the 9th International Conference on Artificial Intelligence and Law, 233–42. doi:https://doi.org/10.1145/1047788.1047838.
  • Casanovas, P., G. Sartor, M. Biasiotti, and M. Fernández-Barrera. 2011. “Introduction: Theory and Methodology in Legal Ontology Engineering: Experiences and Future Directions.” In Approaches to Legal Ontologies, Law, Governance and Technology Series, Vol 1, 1–14. Springer, Dordrecht. doi:https://doi.org/10.1007/978-94-007-0120-5_1.
  • Chapman, P., J. Clinton, R. Kerber, T. Khabaza, T. Reinartz, C. Shearer, and R. Wirth. 2000. “CRISP-DM 1.0 Step-by-Step Data Mining Guide”.
  • Chen, M., S. Mao, and Y. Liu. 2014. “Big Data: A Survey.” Mobile Networks and Applications 19 (2): 171–209. doi:https://doi.org/10.1007/s11036-013-0489-0.
  • Conway, J. E. 2017. “PL/R - R Procedural Language for PostgreSQL”.
  • Eisenstein, J. 2019. Introduction to Natural Language Processing. Cambridge, MA: MIT Press.
  • Fayyad, U., et al. 2001. “Knowledge Discovery In Databases: An Overview.” In Relational Data Mining, edited by S. Džeroski, 28–47. Berlin Heidelberg: Springer-Verlag.
  • Frank, E., M. A. Hall, and I. H. Witten. 2016. The WEKA Workbench. Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques”. 4th ed. Burlington: Morgan Kaufmann.
  • Galindo, F. 2019. “La Informática En Los Ámbitos Jurídicos Universitarios.” In El Derecho de Las TIC En Iberoamérica, edited by Marcelo Bauzá, 171–202. Montevideo, Uruguay: La Ley.
  • García, Y. 2016. “Método Para La Desambiguación Sintáctica de Textos de La Legislación Cubana.” Universidad de Ciencias Informáticas. https://repositorio.uci.cu/handle/123456789/7998.
  • González, I., and J. Rivera. 2017. “Informatización de La Impartición de Justicia, Tribunales Populares Cubanos.” In 8va. Conferencia Científica Internacional de La Universidad de Holguín. Holguín.
  • Greenleaf, G., A. Mowbray, and P. Chung. 2018. “Building Sustainable Free Legal Advisory Systems: Experiences from the History of AI & Law.” Computer Law and Security Review 34 (2): 314–326. doi:https://doi.org/10.1016/j.clsr.2018.02.007.
  • Guevara, B. 2014. “Modelo de Gestión Del Conocimiento Jurídico Basado En La Ejecución de Una Arquitectura de Software.” Universidad de Ciencias Informáticas.
  • Heredia, L. 2018. “Actualización de Los Sistemas Informáticos En La Organización Nacional de Bufetes Colectivos.” In XVI Convención y Feria Internacional INFORMÁTICA 2018. La Habana.
  • Hidalgo, B. D., and Y. Otero. 2015. “Mercado de Datos Para Los Departamentos de Procesos Penales y Gestión de Cuadros y Personal de Apoyo de La Fiscalía General de La República de Cuba.” Universidad de Ciencias Informáticas.
  • Horty, J. 2019. “Reasoning with Dimensions and Magnitudes.” Artificial Intelligence and Law 27 (3): 309–345. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076643759&partnerID=40&md5=c95e7e3713f59cabb360888616df91a0.
  • Johnson, R. A., and T. Rostain. 2020. “Tool for Surveillance or Spotlight on Inequality? Big Data and the Law.” Annual Review of Law and Social Science 16: 453–472. doi:https://doi.org/10.1146/annurev-lawsocsci-061020.
  • Kimball, R. 2004. “The Data Warehouse Lifecycle Toolkit.” New York, USA.
  • Lamorú, D. 2015. “Minería de Datos Aplicada a Expedientes Ordinarios Contractuales de La Sala de Lo Económico Del Tribunal Provincial de La Habana.” Universidad Tecnológica de La Habana José Antonio Hecheverría.
  • Leith, P. 2016. “The Rise and Fall of the Legal Expert System.” International Review of Law, Computers and Technology 30 (3): 94–16. doi:https://doi.org/10.1080/13600869.2016.1232465.
  • Leone, V., L. Di Caro, and S. Villata. 2020. “Taking Stock of Legal Ontologies: A Feature-Based Comparative Analysis.” Artificial Intelligence and Law 28 (2): 207–235. doi:https://doi.org/10.1007/s10506-019-09252-1.
  • Li, J., G. Zhang, L. Yu, and T. Meng. 2019. “Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions.” Journal of Signal Processing Systems 91 (10): 1159–1167. doi:https://doi.org/10.1007/s11265-018-1429-9.
  • Loevinger, L. 1949. “Jurimetrics-The Next Step Forward.” Minnesota Law Review 33 (5): 455–493.
  • Martínez, L., R.M. Rodriguez, and F. Herrera. 2015. The 2-Tuple Linguistic Model: Computing with Words in Decision Making. Cham: Springer. doi:https://doi.org/10.1007/978-3-319-24714-4.
  • McCarty, L. T. 1977. “Reflections on ‘Taxman’: An Experiment in Artificial Intelligence and Legal Reasoning.” Harvard Law Review 90 (5): 837–893. doi:https://doi.org/10.2307/1340132.
  • McCarty, L. T. 2018. “Finding the Right Balance in Artificial Intelligence and Law.” In Research Handbook on the Law of Artificial Intelligence, edited by Woodrow Barfield, and Ugo Pagallo, 55–87. Cheltenham, UK: Edward Elgar Publishing. doi:https://doi.org/10.4337/9781786439055.00013.
  • Medvedeva, M., M. Vols, and M. Wieling. 2020. “Using Machine Learning to Predict Decisions of the European Court of Human Rights.” Artificial Intelligence and Law 28 (2): 237–266. doi:https://doi.org/10.1007/s10506-019-09255-y.
  • Parellada, Y. 2014. “Mercados de Datos Para Los Departamentos Verificación Fiscal, Quejas Peticiones y Denuncias, Dictámenes y Revisiones de Causas Penales de La Fiscalía General de La República.” Universidad de Ciencias Informáticas.
  • Pawlak, Z. 1995. “Rough Sets.” Journal of Information and Computer Sciences 11 (5): 341–356.
  • Pentaho Corporation. 2012. “Pentaho.” Powerful Analytics Made Easy. 2012. http://www.pentaho.com/explore/pentaho-data-integration/.
  • Picchi, E. 1997. DBT 3 - Data Base Testuale: Guida All’uso. Roma: Lexis Proggeti Editoriali.
  • Placencia, P. J., and C. R. Rodríguez. 2016. “Componente Para La Construcción de Resúmenes Lingüísticos a Partir de Los Datos de Los Procesos Penales de La Fiscalía General de La República.” Universidad de las Ciencias Informáticas. https://repositorio.uci.cu/handle/123456789/7715.
  • Prakken, H., and G. Sartor. 1996. “A Dialectical Model of Assessing Conflicting Arguments in Legal Reasoning.” Artificial Intelligence and Law 4 (3): 331–368. doi:https://doi.org/10.1007/BF00118496.
  • Pupo, J. C., C. Jiménez, A. Torres, Y. Figueroa, A. Parra, H. Fuentes, M. E. Delgado, and M. Álvarez. 2016. “Sistema de Gestión Fiscal: Informatización y Desarrollo.” In XIV Congreso Internacional de Información, INFO 2016. La Habana.
  • Ramírez-Alujas, Á. 2020. “El Estado Del Estado Abierto En América Latina: Avances, Alcances y Perspectivas.” Estado Abierto. Revista Sobre El Estado, La Administración Y Las Políticas Públicas 4 (1): 13–38.
  • Rigoni, A. 2018. “Representing Dimensions Within the Reason Model of Precedent.” Artificial Intelligence and Law 26 (1): 1–22. doi:https://doi.org/10.1007/s10506-017-9216-7.
  • Rissland, E. L., and K. D. Ashley. 1987. “A Case-Based System for Trade Secrets Law.” In Proceedings of the 1st International Conference on Artificial Intelligence and Law, 60–66. doi:https://doi.org/10.1145/41735.41743.
  • Rissland, E. L., and D. B. Skalak. 1991. “CABARET: Rule Interpretation in a Hybrid Architecture.” International Journal of Man-Machine Studies 34 (6): 839–887. doi:https://doi.org/10.1016/0020-7373(91)90013-W.
  • Rodríguez, Y., and L. Solis. 2014. “Mercados de Datos Para Los Departamentos Civil y Familia, Administrativo y Atención a La Población de La Fiscalía General de La República.” Universidad de Ciencias Informáticas.
  • Rodríguez, C. R., D. S. Zuev, and E. Cleger. 2019. “Model of Decision Support System for Legal Activities in Cuba: First Ideas [In Russian].” Scientific Notes 17 (1): 610–616.
  • Sardiñas, O., and A. Benavides. 2013. “Mercado de Datos Económico Del Sistema de Información Estadístico Judicial Para Los Tribunales Populares.” Universidad de Ciencias Informáticas.
  • Sassi, M., and Y. Amoroso. 2000. “Literatura, Derecho y Lingüistica Computacional: Recuento de Las Colaboraciones Italia-Cuba.” Pisa.
  • Schlobohm, D. A., and D. A. Waterman. 1987. “Explanation for an Expert System That Performs Estate Pianning.” In Proceedings of the 1st International Conference on Artificial Intelligence and Law, 18–27. Association for Computing Machinery, Inc. doi:https://doi.org/10.1145/41735.41738.
  • Sergot, M. J., F. Sadri, R. A. Kowalski, F. Kriwaczek, P. Hammond, and H. T. Cory. 1986. “The British Nationality Act as a Logic Program.” Communications of the ACM 29 (5): 370–386. doi:https://doi.org/10.1145/5689.5920.
  • Song, D., A. Vold, K. Madan, and F. Schilder. 2021. “Multi-Label Legal Document Classification: A Deep Learning-Based Approach with Label-Attention and Domain-Specific Pre-Training.” Information Systems, January, 101718. doi:https://doi.org/10.1016/j.is.2021.101718.
  • Suárez, K. 2013. “Propuesta de Un Sistema de Alerta Temprana Para El Sistema de Informatización de La Gestión de Las Fiscalías.” Universidad de Ciencias Informáticas.
  • Sulea, O. M., M. Zampieri, Mi Vela, and J. van Genabith. 2017. “Predicting the Law Area and Decisions of French Supreme Court Cases.” https://arxiv.org/abs/1708.01681v1.
  • Susskind, R. E. 2017. Tomorrow’s Lawyers: An Introduction to Your Future. Oxford: Oxford University Press.
  • Thammaboosadee, S., S. Kiattisin, S. Darakorn, and B. Watanapa. 2017. “Sentence Identification System Based on Criminal Law Ontology.” International Review of Law, Computers and Technology 31 (1): 1–15. doi:https://doi.org/10.1080/13600869.2017.1304615.
  • Thomas, Anu, and Sivanesan Sangeetha. 2021. “Semi-Supervised, Knowledge-Integrated Pattern Learning Approach for Fact Extraction from Judicial Text.” Expert Systems 38 (3): e12656. doi:https://doi.org/10.1111/exsy.12656.
  • Torra, V. 2010. “Hesitant Fuzzy Sets.” International Journal of Intelligent Systems 25 (6): 529–539. doi.org/https://doi.org/10.1002/int.20418.
  • Valente, A. 2005. “Types and Roles of Legal Ontologies.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 65–76. doi:https://doi.org/10.1007/978-3-540-32253-5_5.
  • Varona, D., Y. Lizama-Mue, and J. L. Suárez. 2020. “Machine Learning’s Limitations in Avoiding Automation of Bias.” AI and Society. doi:https://doi.org/10.1007/s00146-020-00996-y.
  • Walker, R. F., A. Oskamp, J. A. Schrickx, G. J. Van Opdorp, and P. H. van den Berg. 1991. “PROLEXS: Creating Law and Order in a Heterogeneous Domain.” International Journal of Man-Machine Studies 35 (1): 35–67. doi:https://doi.org/10.1016/S0020-7373(07)80007-1.
  • Webb, J. 2020. “Legal Technology: The Great Disruption?” University of Melbourne Law School Legal Studies Research Paper Series 897. doi:https://doi.org/10.2139/ssrn.3664476.
  • Xiang, A. 2021. “Reconciling Legal and Technical Approaches to Algorithmic Bias.” Tennessee Law Review 88 (3): 1–75.
  • Yager, R. R. 1982. “A New Approach to the Summarization of Data.” Information Sciences 28: 69–86.
  • Yager, R. R. 2021. “An Introduction to Linguistic Summaries.” In Studies in Fuzziness and Soft Computing, 394:151–62. Springer Science and Business Media Deutschland GmbH. doi:https://doi.org/10.1007/978-3-030-54341-9_13.
  • Yager, R. R., and R. L. Yager. 2016. “Using Linguistic Summaries and Concepts for Understanding Large Data.” Engineering Applications of Artificial Intelligence 56: 273–280.
  • Yoo, J. S. 2019. “Crime Data Warehousing and Crime Pattern Discovery.” In Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems (DATA ’19), 1–6. New York, NY, USA: Association for Computing Machinery. doi:https://doi.org/10.1145/3368691.3368731.
  • Zamora, K. 2013. “Mercado de Datos Para El Subsistema Protección de Los Derechos Ciudadanos (PDC) Del Sistema de Informatización de La Gestión de Las Fiscalías.” Universidad de Ciencias Informáticas.

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