@inproceedings{jafarpour-etal-2021-active,
title = "Active Curriculum Learning",
author = "Jafarpour, Borna and
Sepehr, Dawn and
Pogrebnyakov, Nick",
editor = {Brantley, Kiant{\'e} and
Dan, Soham and
Gurevych, Iryna and
Lee, Ji-Ung and
Radlinski, Filip and
Sch{\"u}tze, Hinrich and
Simpson, Edwin and
Yu, Lili},
booktitle = "Proceedings of the First Workshop on Interactive Learning for Natural Language Processing",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.internlp-1.6",
doi = "10.18653/v1/2021.internlp-1.6",
pages = "40--45",
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.",
}
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%0 Conference Proceedings
%T Active Curriculum Learning
%A Jafarpour, Borna
%A Sepehr, Dawn
%A Pogrebnyakov, Nick
%Y Brantley, Kianté
%Y Dan, Soham
%Y Gurevych, Iryna
%Y Lee, Ji-Ung
%Y Radlinski, Filip
%Y Schütze, Hinrich
%Y Simpson, Edwin
%Y Yu, Lili
%S Proceedings of the First Workshop on Interactive Learning for Natural Language Processing
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F jafarpour-etal-2021-active
%X 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.
%R 10.18653/v1/2021.internlp-1.6
%U https://aclanthology.org/2021.internlp-1.6
%U https://doi.org/10.18653/v1/2021.internlp-1.6
%P 40-45
Markdown (Informal)
[Active Curriculum Learning](https://aclanthology.org/2021.internlp-1.6) (Jafarpour et al., InterNLP 2021)
ACL
- Borna Jafarpour, Dawn Sepehr, and Nick Pogrebnyakov. 2021. Active Curriculum Learning. In Proceedings of the First Workshop on Interactive Learning for Natural Language Processing, pages 40–45, Online. Association for Computational Linguistics.