We would also like to evaluate candidate classification on gold boundaries (manually verified boundaries of term candidates); this allows us to quantify by how much performance can be improved if candidate identification is perfect.
since gold boundary annotation is expensive, we instead approximated it: (i) We run automatic term candidate identification.