References

Publications that support the LegalIA project

The following publications by the members of the research team inform the project’s design and support its feasibility: they cover natural language processing techniques for Spanish, the construction of specialized language resources, and the regulatory dimension of artificial intelligence in the legal domain. The page also lists the methods on which the Atlas of Mexican Federal Law builds, namely UMAP, Qwen3 Embedding and BM25.

Graff, Mario, and Jersain Zadamig Llamas Covarrubias. 2026. La Inteligencia Artificial en el Ámbito Legal. Under review.

Graff, Mario, Sabino Miranda-Jiménez, Eric S. Tellez, and Daniela Moctezuma. 2020. “EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis.” Computational Intelligence Magazine 15 (1): 76–88. http://arxiv.org/abs/1812.02307.

Graff, Mario, Daniela Moctezuma, Sabino Miranda-Jiménez, and Eric S. Tellez. 2022. “A Python Library for Exploratory Data Analysis and Knowledge Discovery on Twitter Data.” Computers & Geosciences 159 (February). http://arxiv.org/abs/2009.01826.

Graff, Mario, Daniela Moctezuma, and Eric S. Téllez. 2025. “Bag-of-Word approach is not dead: A performance analysis on a myriad of text classification challenges.” Natural Language Processing Journal 11: 100154. https://doi.org/10.1016/j.nlp.2025.100154.

Llamas Covarrubias, Jersain Zadamig, Olivia Andrea Mendoza Enríquez, and Mario Graff Guerrero. 2022. “Enfoques regulatorios para la Inteligencia Artificial (IA).” Revista Chilena de Derecho 49 (3): 31–62. https://doi.org/10.7764/R.493.2.

McInnes, Leland, John Healy, and James Melville. 2018. “UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.” arXiv Preprint arXiv:1802.03426. https://arxiv.org/abs/1802.03426.

Robertson, Stephen, and Hugo Zaragoza. 2009. “The Probabilistic Relevance Framework: BM25 and Beyond.” Foundations and Trends in Information Retrieval 3 (4): 333–89. https://doi.org/10.1561/1500000019.

Tellez, Eric S., Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma, Oscar S. Siordia, and Elio A. Villaseñor. 2017. “A case study of Spanish text transformations for twitter sentiment analysis.” Expert Systems with Applications 81: 457–71. https://doi.org/10.1016/j.eswa.2017.03.071.

Tellez, Eric S., Sabino Miranda-Jiménez, Mario Graff, Daniela Moctezuma, Ranyart R. Suárez, and Oscar S. Siordia. 2017. “A simple approach to multilingual polarity classification in Twitter.” Pattern Recognition Letters 94: 68–74. https://doi.org/10.1016/j.patrec.2017.05.024.

Tellez, Eric S., Daniela Moctezuma, Sabino Miranda, Mario Graff, and Guillermo Ruiz. 2023. “Regionalized models for Spanish language variations based on Twitter.” Language Resources and Evaluation 57. https://doi.org/10.1007/s10579-023-09640-9.

Tellez, Eric S., Daniela Moctezuma, Sabino Miranda-Jiménez, and Mario Graff. 2018. “An automated text categorization framework based on hyperparameter optimization.” Knowledge-Based Systems 149 (June): 110–23. https://doi.org/10.1016/J.KNOSYS.2018.03.003.

Tellez, Eric S., Guillermo Ruiz, Daniela Moctezuma, and Mario Graff. 2026. Fundamentos de Inteligencia Artificial. Under review.

Zhang, Yanzhao, Mingxin Li, Dingkun Long, et al. 2025. “Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.” arXiv Preprint arXiv:2506.05176. https://arxiv.org/abs/2506.05176.