Essay-BR: a Brazilian Corpus to Automatic Essay Scoring Task

Abstract

Automatic Essay Scoring (AES) is the computer technology that evaluates and scores the written essays, aiming to provide computational models to grade essays 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, in this paper we extended a corpus of essays written by Brazilian high school students in an online platform. All of the essays are argumentative and were scored across five competences by experts. Moreover, we conducted an experiment with the extended corpus to show some challenges posed by the Portuguese language. The corpus are publicly available at https://github.com/lplnufpi/essay-br.

Automated Essay Scoring: An approach based on ENEM competencies

“…Investigaram-se métodos baseados em engenharia de features [Sarkar 2019], embeddings [Le and Mikolov 2014] e rede neurais recorrentes (do inglês, Recurrent Neural Network -RNN) do tipo Long Short-Term Memory (LSTM) [Hochreiter and Schmidhuber 1997] para implementar cinco modelos de AAR independentes e capazes de predizer as notas das competências da redac ¸ão do ENEM. Esses modelos foram avaliados em um corpus publicamente disponível [Marinho et al 2022], alcanc ¸ando resultados superiores aos trabalhos relacionados.…”