Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface

Labeling data is an important step in the supervised machine learning lifecycle. It is a laborious human activity comprised of repeated decision making: the human labeler decides which of several potential labels to apply to each example. Prior work has shown that providing AI assistance can improve...

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Veröffentlicht in:	arXiv.org 2021-04
Hauptverfasser:	Desmond, Michael, Ashktorab, Zahra, Brachman, Michelle, Brimijoin, Kristina, Duesterwald, Evelyn, Dugan, Casey, Finegan-Dollak, Catherine, Muller, Michael, Joshi, Narendra Nath, Pan, Qian, Sharma, Aabhas
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Computer Science - Human-Computer Interaction Decision making Labeling Labels Machine learning Task complexity
Online-Zugang:	Volltext
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