The article discusses different techniques for automatically summarizing text. This is important because there is a lot of text online, and it can be hard to find the most important information. Two main types of text summarization are extractive, which picks out key sentences, and abstractive, which may rewrite the text. The researchers focus on using a method called LSTM with encoder-decoder for abstractive text summarization. They found that this approach can help generate summaries that capture the main points of a text document.