Automatic summarization model based on clustering algorithm | Scientific Reports - Nature

Summary

The article discusses the application of Natural Language Processing (NLP) techniques, specifically BERT-based models, to enhance extractive document summarization (EDS). Key concepts such as sentence and word embeddings, language modeling, and clustering are integrated to reduce semantic redundancy and improve summary quality, involving methods from computational linguistics and artificial neural networks.