The nine principles, developed by the Institute for the Advancement of Food & Nutrition Sciences, are geared towards guiding researchers and decision-makers navigating controversy and confusion ...

The ATS/ERS 2025 statement on interstitial pneumonia classification updates the 2013 statement, with insights on secondary ...

If only they were robotic! Instead, chatbots have developed a distinctive — and grating — voice. Credit...Illustration by Giacomo Gambineri Supported by By Sam Kriss In the quiet hum of our digital ...

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.

ABSTRACT: 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 ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Abstract: Text classification remains a fundamental challenge in natural language processing (NLP), with performance often limited by the reliance on either traditional linguistic features or semantic ...

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 ...

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...

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 ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...