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 ...

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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 ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Automated text summarization (ATS) is crucial for collecting specialized, domain-specific information. Zero-shot learning (ZSL) allows large language models (LLMs) to respond to prompts on information ...

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 ...

Abstract: Propulsion of the everchanging technological innovations, has led to consider the data generated in the present era very crucial with significant roles both in technical & nontechnical ...

This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.