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Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree.
Connor Baumler
Anna Sotnikova
Hal Daumé III
Published in:
ACL (Findings) (2023)
Keyphrases
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active learning
ground truth labels
training examples
supervised learning
labeled data
semi supervised
manual annotation
cost sensitive
ground truth
small number
machine learning
e learning
learning strategies
random sampling
pairwise
manually annotated
selective sampling
information retrieval