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Banjade, Rajendra; Rus, Vasile – International Educational Data Mining Society, 2019
Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…
Descriptors: Dialogs (Language), Probability, Intelligent Tutoring Systems, Semantics