The inference based knowledge resource enhancement mechanism allows building lexical semantic resource incrementally and, presumably, minimises the human effort necessary for the resource building. Unfortunately, the knowledge parts obtained by inference have to be semi-automatically double checked to avoid the propagation of errors. The overall human effort in the inference process may be very important. In the present paper, we describe a resource building pipeline based on monolingual inference and cross-lingual inference. Its main contribution is proposing a method where the resource building process appears as a self learning process.