Video Summary

The paper proposes a new method for generating text summaries. The method is based on a neural network model that is trained on a large corpus of text data. The model is able to learn the important content of a text document and generate a concise summary that captures the main points. The method is evaluated on a number of benchmark datasets and shown to outperform existing methods.