Token-position & entity-majority features (F4): These features capture non-local information from F2 and F3 simultaneously. They take into account the entity boundary and semantic class information at the same time. These non-local features are applied in English NER in one-step approach<cite> (Krishnan and Manning, 2006</cite>; Wong and Ng, 2007) , they employ these features to improve entity consistence among their different occurrences.