A simple log-based loss function for ordinal text classificationDownload PDF


16 Nov 2021 (modified: 05 May 2023)ACL ARR 2021 November Blind SubmissionReaders: Everyone
Abstract: The cross-entropy loss function is widely used and generally considered the default loss function for text classification. When it comes to ordinal text classification where there is an ordinal relationship between labels, the cross-entropy is not optimal as it does not incorporate the ordinal character into its feedback. In this paper, we propose a new simple loss function called ordinal log-loss (OLL). We show that this loss function outperforms state-of-the-art previously introduced losses on four benchmark text classification datasets.
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