ABSTRACT: This paper examines the extent to which competencies taught in Congolese universities match the skills required by the labour market. Using official curricula from the Ministry of Higher and ...

The ease of recovering information that was not properly redacted digitally suggests that at least some of the documents released by the Justice Department were hastily censored. By Santul Nerkar ...

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

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 ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face ...

Gallagher, S., Rallapalli, S., and Brooks, T., 2025: Evaluating LLMs for Text Summarization: An Introduction. Carnegie Mellon University, Software Engineering ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...

Abstract: Text summarization is gaining attention from readers who want to understand the main concept of the entire text. One of the natural language processing forms, “Named Entity Recognition” (NER ...

Using text summarization, a long text is provided as input and by automated means a shorter and more concise version is generated (Cai et al., 2021). Text simplification reduces the complexity of a ...