Nov 23, 2022 · We focus on identifying real spurious features in NLP tasks with significant correlations with the la- bels. These spurious correlations will ...
Analyzing Biases to Spurious Correlations in Text Classification ...
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Sep 28, 2022 · Machine learning systems have shown impressive performance across a range of natural language tasks. However, it has been hypothesized that ...
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Analyzing Biases to Spurious Correlations in Text Classification Tasks · https ... This work examines this phenomenon on text classification tasks.
Our analysis is conducted in the context of two text classification tasks: sentiment analysis and toxicity classification. Results show that NFL robustifies ...
We consider two domains over X ×Y: a biased domain Dbiased where spurious correlations can be exploited and a general domain Dunbiased where the same spurious ...
A metric to detect spurious tokens is designed and a family of regularization methods, NFL, to mitigate spurious correlations in text classification are ...
5 days ago · In text classification tasks, models often rely on spurious correlations for predictions, incorrectly associating irrelevant features with ...
Sep 4, 2024 · Relying on spurious correlations may lead to significant degradation in generalizability and should be avoided. In this paper, we propose a ...
Spurious correlations threaten the validity of statisti- cal classifiers. While model accuracy may appear high when the test data is from the same distribution ...
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