We present a set of novel neural supervised and unsupervised approaches for determining
the readability of documents. In the unsupervised setting, we leverage neural language …

Readability assessment is the task of evaluating the reading difficulty of a given piece of text.
Although research on computational approaches to readability assessment is now two …

Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is
traditionally treated as a classification problem in NLP research. In this paper, we propose …

Deep learning models for automatic readability assessment generally discard linguistic
features traditionally used in machine learning models for the task. We propose to …

Text readability assessment is a well-known problem that has acquired even more
importance in today's information-rich world. In this article, we survey various approaches to …

This paper automatically evaluates the readability of Spanish e-government websites.
Specifically, the websites collected explain e-government administrative procedures. The …

Readability is a core component of information retrieval (IR) tools as the complexity of a
resource directly affects its relevance: a resource is only of use if the user can comprehend …

Abstract English is a world language, and the ability to use English plays an important role in
the improvement of college students' comprehensive quality and career development …

Readability is a measure that associates a written text to a reader's skill or grade level.
Readability assessment is very important in the field of second or foreign language (L2) …

Inflation targeting requires clear and transparent central bank's communication. Analysts
and market participants understand it as a broad list of information disclosed by the central …