On Wikipedia our results range between 71.6% (French) and 87.4% F1 (English), i.e., more than 10 points higher than the current state of the art (UMCC-DLSI) in all 5 languages.
we show that the semantic network structure can be leveraged to obtain state-of-the-art performance by synergistically disambiguating both word senses and named entities at the same time.