Application of high-dimensional linguistic and semantic feature vectors in automated scoring of examination responses
Abstract:
A computer implemented method for evaluating examination responses includes receiving, with an examination evaluation server, an examination response, tokenizing the examination response into one or more n-word segments, extracting, from the response, a set of construct-relevant features indicating one or more scoring metrics, generating a set of scoring rules, and generating a score estimate as a function of one or more scoring rules from the set of scoring rules and one or more of the scoring metrics.
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