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SeedBERT: Recovering Annotator Rating Distributions from an Aggregated
  Label

SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label

23 November 2022
A. Sampath
Victoria Lin
Louis-Philippe Morency
ArXivPDFHTML

Papers citing "SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label"

4 / 4 papers shown
Title
Jury Learning: Integrating Dissenting Voices into Machine Learning
  Models
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon
Michelle S. Lam
J. Park
Kayur Patel
Jeffrey T. Hancock
Tatsunori Hashimoto
Michael S. Bernstein
77
151
0
07 Feb 2022
Dealing with Disagreements: Looking Beyond the Majority Vote in
  Subjective Annotations
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Aida Mostafazadeh Davani
Mark Díaz
Vinodkumar Prabhakaran
61
315
0
12 Oct 2021
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,770
0
11 Oct 2018
Label Distribution Learning
Label Distribution Learning
Xin Geng
56
523
0
26 Aug 2014
1