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Scott Hellman

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2020 – today

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2023
[c5]
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  dblp key:
  - conf/bea/HellmanAH23
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Scott Hellman, Alejandro Andrade, Kyle Habermehl:
Scalable and Explainable Automated Scoring for Open-Ended Constructed Response Math Word Problems. BEA@ACL 2023: 137-147
2020
[c4]
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Scott Hellman, William Murray, Adam Wiemerslage, Mark Rosenstein, Peter W. Foltz, Lee Becker, Marcia Derr:
Multiple Instance Learning for Content Feedback Localization without Annotation. BEA@ACL 2020: 30-40

2010 – 2019

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2019
[c3]
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  - electronic edition @ ceur-ws.org (open access)
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Alok Baikadi, Lee Becker, Jill Budden, Peter W. Foltz, Andrew Gorman, Scott Hellman, William Murray, Mark Rosenstein:
An apprenticeship model for human and AI collaborative essay grading. IUI Workshops 2019
[c2]
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Scott Hellman, Mark Rosenstein, Andrew Gorman, William Murray, Lee Becker, Alok Baikadi, Jill Budden, Peter W. Foltz:
Scaling Up Writing in the Curriculum: Batch Mode Active Learning for Automated Essay Scoring. L@S 2019: 16:1-16:10
2012
[c1]
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  - conf/cidu/HellmanMX12
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Scott Hellman, Amy McGovern, Ming Xue:
Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. CIDU 2012: 112-117

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