Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...

Dec 9 (Reuters) - Accenture (ACN.N), opens new tab and Anthropic on Tuesday announced an expansion of their partnership through a new business group where around 30,000 of the consulting giant's ...

SEOUL, Dec 2 (Reuters) - Samsung Electronics (005930.KS), opens new tab unveiled on Tuesday its first multi-folding smartphone, in a bid to strengthen its position in a sector of the phone market ...

I would like to request clarification on the scope of “visible label” in SC 2.5.3 Label in Name, as we are encountering different interpretations in real-world projects. There is one visible text ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

In the published article, there was an error in the Funding statement. The Funding statement was erroneously omitted, and financial support grants should have instead ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...