Personalized Substitution Ranking for Lexical Simplification

John Lee, Chak Yan Yeung
2019 Proceedings of the 12th International Conference on Natural Language Generation  
A lexical simplification (LS) system substitutes difficult words in a text with simpler ones to make it easier for the user to understand. In the typical LS pipeline, the Substitution Ranking step determines the best substitution out of a set of candidates. Most current systems do not consider the user's vocabulary proficiency, and always aim for the simplest candidate. This approach may overlook less-simple candidates that the user can understand, and that are semantically closer to the
more » ... loser to the original word. We propose a personalized approach for Substitution Ranking to identify the candidate that is the closest synonym and is non-complex for the user. In experiments on learners of English at different proficiency levels, we show that this approach enhances the semantic faithfulness of the output, at the cost of a relatively small increase in the number of complex words.
doi:10.18653/v1/w19-8634 dblp:conf/inlg/LeeY19 fatcat:z7zld72ddrb37g5tt7hnw43lem