Turnitin
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Counterfactual inference for text classification debiasing
Today's text classifiers inevitably suffer from unintended dataset biases, especially the
document-level label bias and word-level keyword bias, which may hurt models' …
document-level label bias and word-level keyword bias, which may hurt models' …
Dale: Generative data augmentation for low-resource legal nlp
We present DALE, a novel and effective generative Data Augmentation framework for low-
resource LEgal NLP. DALE addresses the challenges existing frameworks pose in …
resource LEgal NLP. DALE addresses the challenges existing frameworks pose in …
Enhancing text classification via discovering additional semantic clues from logograms
Text classification in low-resource languages (eg Thai) is of great practical value for some
information retrieval applications (eg sentiment-analysis-based restaurant …
information retrieval applications (eg sentiment-analysis-based restaurant …