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Found 5 papers, 2 papers with code
A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions
One explanation for this bias is that AI models are trained on limited datasets, and using such a term in training data is more likely to appear in a toxic utterance.
2-Cats: 2D Copula Approximating Transforms
Copulas are powerful statistical tools for capturing dependencies across multiple data dimensions.
Initial Results for Pairwise Causal Discovery Using Quantitative Information Flow
Pairwise Causal Discovery is the task of determining causal, anticausal, confounded or independence relationships from pairs of variables.
Fast Estimation of Causal Interactions using Wold Processes
Regarding accuracy, GrangerBusca is three times more accurate (in Precision@10) than the state of the art for the commonly explored subsets Memetracker.
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