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.

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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 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 ...

Background: Free-text comments in patient-reported outcome measures (PROMs) data provide insights into health-related quality of life (HRQoL). However, these comments are typically analysed using ...

NEXUS-01, a phase 1 study of LY4052031, an antibody-drug conjugate targeting Nectin-4 in participants with advanced or metastatic urothelial carcinoma or other solid tumors. This is an ASCO Meeting ...

Abstract: Multi-label text classification is a challenging and fundamental task in natural language processing. Previous studies have lacked in-depth exploration of label information and the ...

Abstract: Multi-label classification is rapidly developing as an important aspect of modern predictive modeling. In this paper, we propose a multi-label text classification approach in order to ...