Learning a Lexical Simplifier Using Wikipedia
Colby Horn, Cathryn A. Manduca, David Kauchak · 2014
In this paper we introduce a new lexical simplification approach.We extract over 30K candidate lexical simplifications by identifying aligned words in a sentencealigned corpus of English Wikipedia with Simple English Wikipedia.To apply these rules, we learn a feature-based ranker using SVM rank trained on a set of labeled simplifications collected using Amazon's Mechanical Turk.Using human simplifications for evaluation, we achieve a precision of 76% with changes in 86% of the examples.