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A Survey of Active Learning for Natural Language Processing

A Survey of Active Learning for Natural Language Processing

18 October 2022
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
    LM&MA
ArXivPDFHTML

Papers citing "A Survey of Active Learning for Natural Language Processing"

6 / 6 papers shown
Title
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Enrico Liscio
Luciano Cavalcante Siebert
Catholijn M. Jonker
P. Murukannaiah
22
4
0
26 Feb 2024
Investigating Multi-source Active Learning for Natural Language
  Inference
Investigating Multi-source Active Learning for Natural Language Inference
Ard Snijders
Douwe Kiela
Katerina Margatina
13
7
0
14 Feb 2023
Active Learning for Event Extraction with Memory-based Loss Prediction
  Model
Active Learning for Event Extraction with Memory-based Loss Prediction Model
Shirong Shen
Zhen Li
Guilin Qi
11
1
0
26 Nov 2021
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
Zac Pullar-Strecker
Katharina Dost
E. Frank
Jörg Simon Wicker
13
10
0
07 Oct 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1