Inferential comprehension is necessary to connect ideas in a text together in a meaningful
manner. There have been multiple studies on inferential comprehension involving texts of …

Purpose Conflicts, claims and disputes are inherent in most construction projects.
Acceptable degree of commonality in the interpretation of contract provisions is critical in …

This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …

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 …

We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …

Automatic text simplification is a research field in computational linguistics that studies
methods and techniques to simplify textual content. Text simplification methods should …

This paper addresses the task of readability assessment for the texts aimed at second
language (L2) learners. One of the major challenges in this task is the lack of significantly …

This paper describes the collection and compilation of the OneStopEnglish corpus of texts
written at three reading levels, and demonstrates its usefulness for through two applications …

Workers of microtask crowdsourcing marketplaces strive to find a balance between the need
for monetary income and the need for high reputation. Such balance is often threatened by …

In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of
linguistic profiling that can support language variation research from different perspectives. It …