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ALE: A Simulation-Based Active Learning Evaluation Framework for the
  Parameter-Driven Comparison of Query Strategies for NLP

ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP

1 August 2023
Philipp Kohl
Nils Freyer
Yoka Krämer
H. Werth
Steffen Wolf
Bodo Kraft
Matthias Meinecke
Albert Zündorf
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Papers citing "ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP"

4 / 4 papers shown
Title
Scoping Review of Active Learning Strategies and their Evaluation
  Environments for Entity Recognition Tasks
Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks
Philipp Kohl
Yoka Krämer
Claudia Fohry
Bodo Kraft
30
3
0
04 Jul 2024
DeepAL: Deep Active Learning in Python
DeepAL: Deep Active Learning in Python
Kuan-Hao Huang
AI4CE
16
17
0
30 Nov 2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
29
25
0
23 Sep 2021
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
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