# Essay-BR: a Brazilian Corpus of Essays

arXiv: https://arxiv.org/abs/2105.09081 · HTML: https://mlsanity.com/paper/2105.09081/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 30 references that are in the map.
- First posted on arXiv 19 May 2021.

## Builds on (most cited first, 2 of 2)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Automated assessment of non-native learner essays: Investigating the role of linguistic features](https://mlsanity.com/paper/1612.00729/) (2016)

## Built on by (most cited first, 3 of 3)

- [Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://mlsanity.com/paper/2507.22753/) (2025)
- [Automatic Essay Scoring in a Brazilian Scenario](https://mlsanity.com/paper/2401.00095/) (2023)
- [Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE](https://mlsanity.com/paper/2602.17314/) (2026)

## Abstract (arXiv)

Automatic Essay Scoring (AES) is defined as the computer technology that evaluates and scores the written essays, aiming to provide computational models to grade essays either automatically or with minimal human involvement. While there are several AES studies in a variety of languages, few of them are focused on the Portuguese language. The main reason is the lack of a corpus with manually graded essays. In order to bridge this gap, we create a large corpus with several essays written by Brazilian high school students on an online platform. All of the essays are argumentative and were scored across five competencies by experts. Moreover, we conducted an experiment on the created corpus and showed challenges posed by the Portuguese language. Our corpus is publicly available at https://github.com/rafaelanchieta/essay.