Hierarchical Ranking Neural Network Improves Readability Assessment for Long Documents

This ArXiv paper explores the application of a hierarchical ranking neural network to assess the readability of long documents. The approach is likely novel, potentially offering improved performance compared to existing methods, especially in handling the complexity of extensive text.