Researchers categorize ATS into two primary methods based on how the final text is generated: Review of automatic text summarization techniques & methods
Automatic Text Summarization (ATS) is a specialized task within Natural Language Processing (NLP) designed to condense large volumes of text into concise, accurate versions while preserving key information. Originally introduced in the 1950s using statistical methods like word frequency, the field has evolved through machine learning and deep learning to current like GPT-4, which offer superior coherence and fluency. Core Summarization Approaches