A part of the work for improving such thesauri focuses on the filtering of the components of the distributional contexts of words (Padró et al., 2014;Polajnar and Clark, 2014) or their reweighting, either by turning the weights of these components into ranks (Broda et al., 2009) or by adapting them through a bootstrapping method from the thesaurus to improve (Zhitomirsky-Geffet and Dagan, 2009;Yamamoto and Asakura, 2010).
such idea faces two problems: first, detecting "good" entries; second, learning a model from them for improving the performance of the other entries.