Abstract
Knowledge modeling is required to analyze the properties and relationships in a specific domain. Several mechanisms are used to represent knowledge; one of them is the logical rule that is an intuitive way to represent schemes through a structure that facilitates matching a premise with a corresponding conclusion.
In the case of the reading comprehension section in the TOEFL accreditation exams, it is necessary to analyze which pattern is linked to the question and related to the answer, so that from this scheme and the complementary information provided by the documents, a correct solution can be found. One advantage of using inferential rules is that it yields a deterministic result instead of making probabilistic management. In this paper, we propose inferential rules to model patterns to answer questions about TOEFL academic texts.
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Contreras González, M., Tovar Vidal, M., De Ita, G. (2021). Inferential Rules for Identifying Answers in TOEFL Texts. In: Roman-Rangel, E., Kuri-Morales, Á.F., Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-López, J.A. (eds) Pattern Recognition. MCPR 2021. Lecture Notes in Computer Science(), vol 12725. Springer, Cham. https://doi.org/10.1007/978-3-030-77004-4_2
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DOI: https://doi.org/10.1007/978-3-030-77004-4_2
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