Automatic summarization techniques aim to shorten and generalize information given in the text while preserving its core message most relevant ideas. This task can be approached treated with a variety of methods, however, not many attempts have been made produce solutions specifically for Russian language despite existing localizations state-of-the-art models. In this paper, we showcase ruGPT3 ...

After lying dormant for over two decades, automated text summarization has experienced a tremendous resurgence of interest in the past few years. Research is being conducted in China, Europe, Japan, and North America, and industry has brought to market more than 30 summarization systems; most recently, a series of large-scale text summarization evaluations, Document Understanding Conference (DU...

Summarization, an extremely important technique in Data Mining is an automatic learning technique aimed to extract the most valuable information from a large size document or the articles. The goal is to create the summary of the document, but substantially different from each other. Text Document summarization refers to the summarization of text documents based upon their content. The proposed...