Application of semantic vectors in automated scoring of examination responses
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United States of America Patent
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May 26, 2020
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Jun 9, 2017
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Jun 9, 2017
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Abstract
A computer implemented method of examination scoring includes receiving, with an examination evaluation server, a language corpus with a plurality of corpus words, deriving, for each corpus word, a corpus sematic vector within a multi-dimensional semantic vector space, receiving first and second examination responses, tokenizing each examination response into a plurality of response words, identifying a set of matching response words from the plurality of response words from each examination response, identifying a set of semantic vectors corresponding to the matching response words for each examination response, and comparing the semantic vectors from the first examination response with the semantic vectors from the second examination response to derive a response semantic similarity value for use as an input for automated scoring.
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