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of 3
pro vyhledávání: '"Scott Hellman"'
Autor:
William Murray, Mark Rosenstein, Marcia A. Derr, Peter W. Foltz, Adam Wiemerslage, Scott Hellman, Lee Becker
Publikováno v:
BEA@ACL
Automated Essay Scoring (AES) can be used to automatically generate holistic scores with reliability comparable to human scoring. In addition, AES systems can provide formative feedback to learners, typically at the essay level. In contrast, we are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43bdc1c4df17206c16c79c5a804ff367
https://doi.org/10.18653/v1/2020.bea-1.3
https://doi.org/10.18653/v1/2020.bea-1.3
Autor:
William Murray, Jill S. Budden, Lee Becker, Peter W. Foltz, Alok Baikadi, Scott Hellman, Mark Rosenstein, Andrew Gorman
Publikováno v:
L@S
Automated essay scoring (AES) allows writing to be assigned in large courses and can provide instant formative feedback to students. However, creating models for AES can be costly, requiring the collection and human scoring of hundreds of essays. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806efbc86d105be17478c45cdcdc1d2b
https://doi.org/10.1145/3330430.3333629
https://doi.org/10.1145/3330430.3333629
Publikováno v:
CIDU
We introduce Ensembled Continuous Bayesian Networks (ECBN), an ensemble approach to learning salient dependence relationships and to predicting values for continuous data. By training individual Bayesian networks on both a subset of the data (bagging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9437a668ebb45f6650bd00da3528f8d2
https://doi.org/10.1109/cidu.2012.6382191
https://doi.org/10.1109/cidu.2012.6382191