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Identifying Useful Features to Detect Off-Topic Essays in Automated Scoring Without Using Topic-Specific Training Essays CBAL AES
Author(s):
Chen, Jing;
Zhang, Mo
Publication Year:
2016
Source:
van der Ark, L. Andries; Bolt, Daniel M.; Wang, Wen-Chung; Douglas, Jeffrey A.; Wiberg, Marie (eds.) Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015. Switzerland: Springer, 2016, p315-326
Document Type:
Chapter
Page Count:
12
Subject/Key Words:
Automated Essay Scoring (AES),
e-rater,
Essay Length,
Essay Evaluation,
Cognitively Based Assessment of, for, and as Learning (CBAL),
Filtering Models,
Essay Topics,
Automated Scoring and Natural Language Processing,
Error Detection
Read More
http://dx.doi.org/10.1007/978-3-319-38759-8_24