State-of-the-Art: Assessing Semantic Similarity in Automated Short-Answer Grading Systems
The use of semantic in Natural Language Processing (NLP) has sparked the interest of academics and businesses in various fields. One such field is Automated Short-answer Grading Systems (ASAGS) for automatically evaluating responses for similarity with the expected answer. ASAGS poses semantic chall...
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| Main Authors: | , |
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| Format: | Article |
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2022
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| Online Access: | http://scholars.utp.edu.my/id/eprint/33977/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139493366&doi=10.18576%2fisl%2f110540&partnerID=40&md5=06706c0295d8aea49907a94093c2581c |
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