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Truth Discovery in Sequence Labels from Crowds

Truth Discovery in Sequence Labels from Crowds

9 September 2021
Nasim Sabetpour
Adithya Kulkarni
Sihong Xie
Qi Li
ArXivPDFHTML

Papers citing "Truth Discovery in Sequence Labels from Crowds"

7 / 7 papers shown
Title
Empirical Analysis for Unsupervised Universal Dependency Parse Tree
  Aggregation
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation
Adithya Kulkarni
Oliver Eulenstein
Qi Li
15
0
0
28 Mar 2024
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Zhijun Chen
Hailong Sun
Wanhao Zhang
Chunyi Xu
Qianren Mao
Pengpeng Chen
BDL
15
6
0
10 Sep 2023
Label Selection Approach to Learning from Crowds
Label Selection Approach to Learning from Crowds
Kosuke Yoshimura
H. Kashima
NoLa
8
0
0
21 Aug 2023
Learning Ambiguity from Crowd Sequential Annotations
Learning Ambiguity from Crowd Sequential Annotations
Xiaolei Lu
9
1
0
04 Jan 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice
  Crowdsourcing
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
Hyeonsu Jeong
Hye Won Chung
15
2
0
29 Dec 2022
CPTAM: Constituency Parse Tree Aggregation Method
CPTAM: Constituency Parse Tree Aggregation Method
Adithya Kulkarni
Nasim Sabetpour
Alexey Markin
Oliver Eulenstein
Qi Li
11
0
0
19 Jan 2022
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
170
0
24 May 2019
1