Avaliação automática de redações na língua portuguesa baseada na coleta de atributos e aprendizagem de máquina

  • Silverio Sirotheau Corrêa Neto Universidade Federal do Pará https://orcid.org/0000-0002-5075-1975
  • Elói Luiz Favero UNIVERSIDADE FEDERAL DO PARÁ
  • João Carlos Alves dos Santos Universidade Federal do Pará
  • Simone Negrão de Freitas Universidade Federal do Pará
  • Marco Aurélio Nascimento Júnior Universidade Federal do Pará

Resumo


Ambientes virtuais demandam métodos de avaliação automática para questões discursivas. Na literatura encontramos métodos promissores para textos na língua inglesa, porém, para o português os estudos são apenas preliminares. Esta pesquisa foca numa abordagem de avaliação automática de redações em português, baseada na coleta de atributos e em métodos de aprendizagem de máquina. Nos experimentos utilizou-se 1000 redações de um concurso público. Na coleta de atributos explorou-se quatro dimensões: Léxica, Sintática, Conteúdo e Coerência. Como resultado foram obtidos índices Kappa quadrado (KQ) de 0.68 do sistema contra humanos versus um KQ de 0.56 de humano contra humano.
Palavras-chave: Avaliação Automática, atributos, aprendizagem de máquina

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Publicado
24/11/2020
SIROTHEAU CORRÊA NETO, Silverio; FAVERO, Elói Luiz; ALVES DOS SANTOS, João Carlos; FREITAS, Simone Negrão de; NASCIMENTO JÚNIOR, Marco Aurélio. Avaliação automática de redações na língua portuguesa baseada na coleta de atributos e aprendizagem de máquina. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 31. , 2020, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 1162-1171. DOI: https://doi.org/10.5753/cbie.sbie.2020.1162.