AI Text Summarization App - A React-based web app that uses three different AI models (BART, Pegasus, T5) to generate high-quality text summaries with sentiment analysis, export options, and a modern ...

Introduction: Text summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models ...

Introduction: Plant phenotyping is a critical area in agricultural research that focuses on assessing plant traits quantitatively to enhance productivity and sustainability. While traditional methods ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Computational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse–Intramural Research Program, National Institutes of ...

Abstract: The growing volume of textual data across various domains has led to the increasing demand for efficient and accurate text processing systems. This research proposes a transformer-based ...

Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

Add a description, image, and links to the text-summarization-a topic page so that developers can more easily learn about it.

Sometime in the 1960s, hypertext pioneer Ted Nelson envisioned deep linking to specific pieces of text as a core feature of his proposed Project Xanadu system. (My first exposure to Xanadu came in the ...