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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis [chapter]

Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville
2020 Lecture Notes in Computer Science  
In this paper, we propose a new and comprehensive framework which uses a hierarchical self-attention model to analyze document readability.  ...  Experimental results show that our proposed method achieves the state-of-the-art performance on estimating the readability for various web articles and literature.  ...  To address these issues, we propose ReadNet, a comprehensive readability classification framework that uses a hierarchical transformer network.  ... 
doi:10.1007/978-3-030-45439-5_3 fatcat:vru3qg7jufaknc5ozpp4ipgdhu