This chapter is the second entry of a blog post series about Automatic Text Summarization. In the first post, we touched on the sub-task of Natural Language Processing by enumerating the different methods to achieve this task (Extractive and Abstractive), and the available metrics to evaluate their performance (ROUGE and BLEU scores).

This section will enumerate the most exciting methods and datasets for automatic text summarization.

This chapter delves even deeper through the domain and gives more technical details about different highly performant Automatic Text Summarization methods.