The document discusses generating high quality proposition banks for multilingual semantic role labeling. It presents frames for common verbs like "buy", "like", and "give" in English. It then shows how frames were generated for these same verbs in other languages like Chinese, French, and German by projecting annotations across languages. The document concludes by introducing a two-step approach used to curate the projected frame mappings, which involves filtering incorrect mappings and grouping usage synonyms. This led to the creation of a publicly released Universal Proposition Bank version 1.0 with curated frame mappings for several languages.