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. We create a large corpus with several essays written by Brazilian high school students on an online platform in order to bridge this gap. All of the essays are argumentative and were scored across five competences 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.

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.

Este trabalho apresenta estratégias para Avaliação Automática de Redações (AAR) escritas em português por meio de uma abordagem baseada na definição de features e modelos de AAR específicos para cada competência da matriz de referência do ENEM. Foram investigados métodos baseados em engenharia de features, embeddings e Redes Neurais Recorrentes. Apesar dos resultados obtidos serem melhores do que trabalhos relacionados, novos estudos devem ser conduzidos a fim de melhorar o desempenho dos modelos de AAR para a língua portuguesa.

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 at 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