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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis

Analyzing the readability of articles has been an important sociolinguistic task. Addressing this task is necessary to the automatic recommendation of appropriate articles to readers with different comprehension abilities, and it further benefits education systems, web information systems, and digit...

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Detalles Bibliográficos
Autores principales:	Meng, Changping, Chen, Muhao, Mao, Jie, Neville, Jennifer
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148251/ http://dx.doi.org/10.1007/978-3-030-45439-5_3

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