End To End Rst Parsing

End-to-End RST Parsing is an important task in natural language processing aimed at parsing rhetorical structures directly from raw text. This includes discourse segmentation, construction of the rhetorical structure tree, nucleus/satellite labeling, and relation tagging. By automating rhetorical analysis, this task helps to understand the deep structure and logical relationships of the text, thereby enhancing the performance of applications such as text summarization, sentiment analysis, and machine translation.