Abstract: Single positive multi-label learning (SPML) aims to recognize multiple categories with limited supervision from one positive label in an image. With the emergence of pre-trained ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

This setting will automatically remove older messages, keeping your conversations manageable. Note: Deleting messages from your Mac does not delete them from other Apple devices unless you have ...

1 School of Media & Communication Shanghai Jiao Tong University, Shanghai, China 2 Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China Objective: This study ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

To help you better understand the type of data with which you interact, UAB IT will enable data classification labels for files in the Microsoft 365 environment on Dec. 6. Labels correspond to UAB’s ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...

Abstract: Multi-label text categorization is a crucial task in Natural Language Processing, where each text instance can be simultaneously assigned to numerous labels. In this research, our goal is to ...

In my last article, we defined what Sensitivity labels and Sensitive Information Types were, how they relate to each other, how they are created, and the elements that each sensitive information type ...