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 ...

The global multi-part labels market is entering an exciting phase of growth and transformation, offering abundant opportunities for both established manufacturers and innovative newcomers. With ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

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 ...

Cross-border issuance raises operational and liquidity risks BOI says legal clarity would be 'timely and valuable' Multi-issuance creating tensions between ECB, EU Commission ROME, Sept 18 (Reuters) - ...

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 ...

ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

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 ...