Discover the evolution of automatic summarization techniques, from unsupervised graph-based models to the rise of neural models like Transformers and BERT. Learn about the evaluation methods used, including lexical overlap and semantic similarity, as well as the importance of human evaluation in determining the quality of summaries.
