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label imbalance

topic1 events
papersTODAY 04:00 UTC

arXiv Paper Uses Transformer Ensembles to Detect Schwartz Values in News Sentences

A new arXiv study tackles multi-label classification of the 19 refined Schwartz human values across roughly 74,000 English news and manifesto sentences from the ValueEval'24 corpus. The authors focus on extreme label imbalance, where some values rarely appear, and combine transformer ensembles with an analysis of value hierarchies and moral presence. The work is framed as a methodological contribution to sentence-level value detection rather than a deployed product.

nlp/arxiv/label-imbalance/value-detection