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

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