‘WADER at SemEval-2023 Task 9: A Weak-Labelling Framework for Data Augmentation in Text Regression Tasks’

“Intimacy is an essential element of human relationships and language is a crucial means of conveying it. Textual intimacy analysis can reveal social norms in different contexts and serve as a benchmark for testing computational models’ ability to understand social information. In this paper, we propose a novel weak-labeling strategy for data augmentation in text regression tasks called WADER.”

Read the paper and see the full list of authors in ArXiv.

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