Performance evaluation of automated scoring for the descriptive similarity response task

Abstract We examined whether a machine-learning-based automated scoring system can mimic the human similarity task performance. We trained a bidirectional encoder representations from transformer-model based on the semantic similarity test (SST), which presented participants with a word pair and ask...

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Bibliographic Details
Main Authors: Ryunosuke Oka, Takashi Kusumi, Akira Utsumi
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-56743-6