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DECK: Behavioral Tests to Improve Interpretability and Generalizability
  of BERT Models Detecting Depression from Text

DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text

12 September 2022
Jekaterina Novikova
Ksenia Shkaruta
    AI4MH
ArXivPDFHTML

Papers citing "DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text"

5 / 5 papers shown
Title
Cost-effective Models for Detecting Depression from Speech
Cost-effective Models for Detecting Depression from Speech
Mashrura Tasnim
Jekaterina Novikova
24
4
0
18 Feb 2023
Micromodels for Efficient, Explainable, and Reusable Systems: A Case
  Study on Mental Health
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Andrew Lee
Jonathan K. Kummerfeld
Lawrence C. An
Rada Mihalcea
38
22
0
28 Sep 2021
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease
  from Text
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text
Jekaterina Novikova
OOD
23
10
0
24 Sep 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,586
0
03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
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