Successfully training a deep neural network demands a huge corpus of labeled data.
However, each label only provides limited information to learn from and collecting the
requisite number of labels involves massive human effort. In this work, we introduce LEAN-
LIFE, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and
classification tasks, with an easy-to-use UI that not only allows an annotator to provide the
needed labels for a task, but also enables LearnIng From Explanations for each labeling …

Successfully training a deep neural network demands a huge corpus of labeled data.
However, each label only provides limited information to learn from and collecting the
requisite number of labels involves massive human effort. In this work, we introduce LEAN-
LIFE 1, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and
classification tasks, with an easy-to-use UI that not only allows an annotator to provide the
needed labels for a task, but also enables LearnIng From Explanations for each labeling …