ARTICLE
AI-driven Generation of News Summaries Leveraging GPT and Pegasus Summarizer for Efficient Information Extraction
- ArXiv : 1-9
Lien de l'article :
https://doi.org/10.4108/eai.18-12-2023.2348180
Discipline :
Informatique et sciences de l'information
Auteur(s) :
Issiaka Faissal Compaoré, Rodrique Kafando, Aminata Sabané, Abdoul Kader Kaboré, Tegawendé F. Bissyandé
Auteur(s) tagués :
BISSYANDE T. François D'Assise
Renseignée par : SABANE Aminata
Résumé
The surge of online information makes it challenging to access relevant news quickly. This necessitates automated methods to effectively extract and summarize information. Our research focuses on designing an online press synthesis tool using advanced AI models. We investigate the feasibility of emp
Mots-clés
Computer science, Information extraction, Automatic summarization, Extraction (chemistry), Information retrieval, Natural language generation, Artificial intelligence, Natural language processing, Natural language