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 ...

Nov 3 (Reuters) - Artificial intelligence cloud startup Lambda said on Monday it has entered into a multi-billion-dollar agreement with Microsoft (MSFT.O), opens new tab to deploy tens of thousands of ...

Oct 31 (Reuters) - Perplexity will display pictures from Getty Images across its AI search and discovery tools under a multi-year deal that sent the visual content company's shares (GETY.N), opens new ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

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: 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 ...

The pytorch-pretrained-bert packaged being used has recently updated to pytorch-transformers. This means that import statements needed to be updated as well as some minor changes such as the way the ...