Resumen de Towards a filtering of the relevant semantic information from MRDs

Toni Badia Cardús, Roser Saurí

• Machine-readable dictionaries (henceforth MRDs) are a valuable source of lexical data for the automatic construction of lexical knowledge bases (LKBs). However, the transfer of information from one source to the other one often demands a filtering process, since in many cases the original dictionaries contain mistakes, redundancies and granularity irregularities. We claim that this filtering process has to be linguistically oriented and, to this end, we start from an amended Generative Lexicon (GL) as a framework for the representation and treatment of lexical information. The use of such a frame allows us to distinguish two main kinds of polysemy