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Found 4 papers, 2 papers with code
Measuring Entrainment in Spontaneous Code-switched Speech
It is well-known that speakers who entrain to one another have more successful conversations than those who do not.
Filler-gaps that neural networks fail to generalize
We use cumulative priming to test for representational overlap between disparate filler-gap constructions in English and find evidence that the models learn a general representation for the existence of filler-gap dependencies.
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
We then use structural topic modeling to examine the content of the tweets and how the prevalence of different topics is related to both abusiveness annotation and dialect prediction.
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Technologies for abusive language detection are being developed and applied with little consideration of their potential biases.
