Papers with complexity prediction

2 papers
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification (2021.acl-long)

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Challenge: Text simplification reduces the language complexity of professional content for accessibility purposes.
Approach: They propose that text simplification can be decomposed into a pipeline of tasks . they show that the pipeline can be used to predict whether a text needs to be simplified .
Outcome: The proposed model improves the performance of out-of-sample simplification tests on a blackbox lexical model . the proposed model reduces the complexity of professional text by a large margin .
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification (2025.emnlp-main)

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Challenge: Text simplification is the process of transforming texts into variants that are simpler to understand by larger audiences or easier to process by existing NLP systems.
Approach: They propose a method for ordering simplification suggestions using a pairwise ranking approximation method, arranging candidates from simple to complex based on a separate set of human judgments.
Outcome: The proposed system is the first to combine lexical simplification and complexity prediction in Romanian with human lexicals.

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