For avoiding the need for resources such as databases or parallel corpora, recent work utilizes word embedding models to extract simplification candidates for complex words [Glavaš andŠtajner, 2015;<cite> Paetzold and Specia, 2016</cite>; <cite>Paetzold and Specia, 2017a]</cite> .