Promoting active learning through case driven approach: An empirical study on database course

2010 ◽  
Author(s):  
Manoj Boyeena ◽  
Prakash Goteti
Keyword(s):  
Active Learning ◽  
Empirical Study

scholarly journals Reducing Confusion in Active Learning for Part-Of-Speech Tagging

2021 ◽  
Vol 9 ◽  
pp. 1-16
Author(s):  
Aditi Chaudhary ◽  
Antonios Anastasopoulos ◽  
Zaid Sheikh ◽  
Graham Neubig
Keyword(s):  
Active Learning ◽  
Empirical Study ◽  
Data Distribution ◽  
Data Selection ◽  
Surprising Result ◽  
Selection Algorithm ◽  
Part Of Speech Tagging ◽  
Part Of Speech ◽  
Training Samples ◽  
Speech Tagging

Active learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntactic analyzers such as part-of-speech (POS) taggers. Existing AL heuristics are generally designed on the principle of selecting uncertain yet representative training instances, where annotating these instances may reduce a large number of errors. However, in an empirical study across six typologically diverse languages (German, Swedish, Galician, North Sami, Persian, and Ukrainian), we found the surprising result that even in an oracle scenario where we know the true uncertainty of predictions, these current heuristics are far from optimal. Based on this analysis, we pose the problem of AL as selecting instances that maximally reduce the confusion between particular pairs of output tags. Extensive experimentation on the aforementioned languages shows that our proposed AL strategy outperforms other AL strategies by a significant margin. We also present auxiliary results demonstrating the importance of proper calibration of models, which we ensure through cross-view training, and analysis demonstrating how our proposed strategy selects examples that more closely follow the oracle data distribution. The code is publicly released here. 1

scholarly journals Active Learning for BERT: An Empirical Study

2020 ◽  
Author(s):  
Liat Ein-Dor ◽  
Alon Halfon ◽  
Ariel Gera ◽  
Eyal Shnarch ◽  
Lena Dankin ◽  
...  
Keyword(s):  
Active Learning ◽  
Empirical Study

Active learning: an empirical study of common baselines

2016 ◽  
Vol 31 (2) ◽  
pp. 287-313 ◽  
Author(s):  
Maria E. Ramirez-Loaiza ◽  
Manali Sharma ◽  
Geet Kumar ◽  
Mustafa Bilgic
Keyword(s):  
Active Learning ◽  
Empirical Study
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