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 ...

A feature summarization approach, leveraging TF-IDF and K-means clustering, was employed to extract and distill key radiological findings related to three diseases. Simultaneously, the hybrid RAG ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

AI-powered system for summarizing PDF content with Armenian, Russian, and English language support. Automatically extracts and summarizes text, applies OCR to images, and identifies visual elements in ...

Abstract: Abstractive text summarization is the task of creating a summary from a document by merging facts from different sources and make a short description of them. In this procedure, the meaning ...

The purpose of this study was to apply deep learning to music perception education. Music perception therapy for autistic children using gesture interactive robots based on the concept of educational ...

Abstract: An approach for generating short and precise summaries for long text documents is proposed. Lately, the size of information on the internet is increasing. It has become tough for the users ...