Laurens van den Bercken|Robert-Jan Sips|Christoph Lofi
Evaluating Neural Text Simplification in the Medical Domain
Delft University of Technology|TomTom (Netherlands)|Delft University of Technology
health literacy ie ability read understand medical text relevant component public health unfortunately many medical texts hard grasp general population targeted highlyskilled professionals use complex language domainspecific terms automatic text simplification making text commonly understandable would beneficial however research development medical text simplification hindered lack openly available training test corpora contain complex medical sentences aligned simplified versions paper introduce dataset aid medical text simplification research dataset created filtering aligned health sentences using expert knowledge existing aligned corpus novel simple language independent monolingual text alignment method furthermore use dataset train stateoftheart neural machine translation model compare model trained general simplification dataset using automatic evaluation extensive humanexpert evaluation