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Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat

Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat

24 March 2020
Alina Arseniev-Koehler
J. Foster
ArXivPDFHTML

Papers citing "Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat"

5 / 5 papers shown
Title
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but
  only via Name Frequency
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency
Austin Van Loon
Salvatore Giorgi
Robb Willer
J. Eichstaedt
12
10
0
20 Jan 2022
Theoretical foundations and limits of word embeddings: what types of
  meaning can they capture?
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
23
18
0
22 Jul 2021
Integrating topic modeling and word embedding to characterize violent
  deaths
Integrating topic modeling and word embedding to characterize violent deaths
Alina Arseniev-Koehler
S. Cochran
V. Mays
Kai-Wei Chang
J. Foster
13
31
0
28 Jun 2021
Cultural Cartography with Word Embeddings
Cultural Cartography with Word Embeddings
Dustin S. Stoltz
Marshall A. Taylor
16
38
0
09 Jul 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
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