Introduction to Text Summarization | Extractive vs Abstractive Methods - TUM Advanced NLP

Description: Welcome to the first lecture on Text Summarization! In this session, we dive into the core concepts of summarization, covering: • What is text summarization? • Extractive vs. Abstractive summarization approaches • Evaluation metrics: BLEU, ROUGE, METEOR, and BERTScore • Key datasets like CNN/Daily Mail & XSum • Popular summarization techniques: TextRank, LexRank, and BERTSum This lecture lays the foundation for understanding how AI and NLP models generate concise and meaningful summaries. Whether you’re a beginner or an NLP enthusiast, this lecture will provide valuable insights! Don’t forget to like, share, and subscribe for more NLP content! As taught in Technical University of Munich (TUM) as part of the Advanced Natural Language Processing Course