Abstract
This paper investigates and reveals the relationship between two closely related machine learning disciplines, namely Active Learning (AL) and Curriculum Learning (CL), from the lens of several novel curricula. This paper also introduces Active Curriculum Learning (ACL) which improves AL by combining AL with CL to benefit from the dynamic nature of the AL informativeness concept as well as the human insights used in the design of the curriculum heuristics. Comparison of the performance of ACL and AL on two public datasets for the Named Entity Recognition (NER) task shows the effectiveness of combining AL and CL using our proposed framework.
| Original language | English |
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| Title of host publication | InterNLP 2021. First Workshop on Interactive Learning for Natural Language Processing : Proceedings of the Workshop |
| Number of pages | 6 |
| Place of Publication | Stroudsburg, PA |
| Publisher | Association for Computational Linguistics |
| Publication date | 2021 |
| Pages | 40-45 |
| ISBN (Print) | 9781954085664 |
| Publication status | Published - 2021 |
| Event | First Workshop on Interactive Learning for Natural Language Processing. InterNLP 2021: Workshop at ACL 2021 - Virtual Conference Duration: 5 Aug 2021 → 5 Aug 2021 Conference number: 1 https://sites.google.com/view/internlp2021/home |
Workshop
| Workshop | First Workshop on Interactive Learning for Natural Language Processing. InterNLP 2021 |
|---|---|
| Number | 1 |
| Location | Virtual Conference |
| Period | 05/08/2021 → 05/08/2021 |
| Internet address |