Papers by Fran Jelenić
On Dataset Transferability in Active Learning for Transformers (2023.findings-acl)
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| Challenge: | Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. |
| Approach: | They propose to query examples most beneficial for model learning by querying data points most informative for labeling. |
| Outcome: | The proposed method reduces labeling costs by querying the examples most beneficial for model learning. |
ALANNO: An Active Learning Annotation System for Mortals (2023.eacl-demo)
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| Challenge: | Active learning (AL) is a special family of machine learning algorithms designed to reduce labeling costs and improve accuracy. |
| Approach: | They developed an open-source annotation system for NLP tasks equipped with features to make AL effective in real-world annotation projects. |
| Outcome: | ALANNO is an open-source annotation system for NLP tasks equipped with features to make AL effective in real-world annotation projects. |