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Stephanie Eckman

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2024
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Stephanie Eckman, Barbara Plank, Frauke Kreuter:
Position: Insights from Survey Methodology can Improve Training Data. ICML 2024
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  - journals/corr/abs-2403-01208
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Stephanie Eckman, Barbara Plank, Frauke Kreuter:
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models. CoRR abs/2403.01208 (2024)
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  - journals/corr/abs-2409-18857
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Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy:
Mitigating Selection Bias with Node Pruning and Auxiliary Options. CoRR abs/2409.18857 (2024)
2023
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  - conf/emnlp/KernEB0MK23
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Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) 2023: 14874-14886
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  - journals/corr/abs-2311-14212
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Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR abs/2311.14212 (2023)
2022
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  - conf/hci/BeckECK22
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Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter:
Improving Labeling Through Social Science Insights: Results and Research Agenda. HCI (43) 2022: 245-261

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