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 ...

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 Tampa Bomb Squad was brought in to conduct a "safety sweep" in Polk County after a car was found with multiple weapons and ammunition. The Haines City Police Department said the investigation ...

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, ...

Lyon retain Europa League place at Palace's expense UEFA rules clubs breached multi-club ownership as of March 1 Nottingham Forest in line for Europa League spot July 11 (Reuters) - Premier League ...