# A Legal Framework for Natural Language Processing Model Training in Portugal

arXiv: https://arxiv.org/abs/2405.00536 · HTML: https://mlsanity.com/paper/2405.00536/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 26 references that are in the map.
- First posted on arXiv 1 May 2024.

## Builds on (most cited first, 5 of 5)

- [The State and Fate of Linguistic Diversity and Inclusion in the NLP World](https://mlsanity.com/paper/2004.09095/) (2020)
- [Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*](https://mlsanity.com/paper/2305.06721/) (2023)
- [Advancing Generative AI for Portuguese with Open Decoder Gerv'asio PT*](https://mlsanity.com/paper/2402.18766/) (2024)
- [Gl'orIA -- A Generative and Open Large Language Model for Portuguese](https://mlsanity.com/paper/2402.12969/) (2024)
- [Indexing Portuguese NLP Resources with PT-Pump-Up](https://mlsanity.com/paper/2401.15400/) (2024)

## Built on by (most cited first, 1 of 1)

- [CitiLink-Summ: Summarization of Discussion Subjects in European Portuguese Municipal Meeting Minutes](https://mlsanity.com/paper/2602.16607/) (2026)

## Abstract (arXiv)

Recent advances in deep learning have promoted the advent of many computational systems capable of performing intelligent actions that, until then, were restricted to the human intellect. In the particular case of human languages, these advances allowed the introduction of applications like ChatGPT that are capable of generating coherent text without being explicitly programmed to do so. Instead, these models use large volumes of textual data to learn meaningful representations of human languages. Associated with these advances, concerns about copyright and data privacy infringements caused by these applications have emerged. Despite these concerns, the pace at which new natural language processing applications continued to be developed largely outperformed the introduction of new regulations. Today, communication barriers between legal experts and computer scientists motivate many unintentional legal infringements during the development of such applications. In this paper, a multidisciplinary team intends to bridge this communication gap and promote more compliant Portuguese NLP research by presenting a series of everyday NLP use cases, while highlighting the Portuguese legislation that may arise during its development.