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About LEAN-LIFE We introduce an open-source web-based Label Efficient AnnotatioN framework for sequence labeling and classification tasks. Our framework enables annotator to provide labels for a task, but also enables LearnIng From Explanations for labeling decision with an easy-to-use UI.
In this work, we introduce LEAN-LIFE1, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and classification tasks, with an easy-to-use UI ...
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 ...
Apr 16, 2020 · We introduce LEAN-LIFE, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and classification tasks, with an easy-to-use UI.
In this work, we introduce. LEAN-LIFE1, a web-based, Label-Efficient. AnnotatioN framework for sequence labeling and classification tasks, with an easy-to-use ...
Sep 9, 2024 · In this work, we introduce LEAN-LIFE, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and classification tasks, with an ...
Apr 16, 2020 · This work introduces LEAN-LIFE, a web-based, Label-Efficient AnnotatioN framework for sequence labeling and classification tasks, ...
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye ...
Example techniques include active learning, weak supervision, data augmentation, and many others. To concur the timeconsuming, labor-intensive, ...
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ... Successfully training a deep neural network demands a huge corpus of ...