@article{oai:kanagawa-u.repo.nii.ac.jp:00012530,
 author = {永松, 礼夫 and 後藤, 智範},
 journal = {Science Journal of Kanagawa University},
 month = {Jun},
 note = {After AY2020, the new "national center test for university admissions" will start. Description-type questions that are not included in the current national center test are newly introduced. The marking process for description type problems -- evaluating scores for each answer script -- is modeled as the semantic similarity of answer sentences to the correct answer sentences. It can be handled within a framework of natural language analysis. In this paper, based on natural language analysis, we proposed a basic model and a prototype method for automated marking. We also discussed some problems regarding the actual implementation of this method., 原著, 2017年度神奈川大学総合理学研究所共同研究助成論文},
 pages = {39--45},
 title = {記述式設問に対する自動採点モデルの試案},
 volume = {29},
 year = {2018}
}