The proposed semi-supervised approach is able to discover their label information with the help of a similarity graph.
it learns the label distributions from similar words (neighborhoods), e.g., "上海港" (Shanghai port), "保 护 区" (protection zone), "九 点 七 亿" (nine hundred and seventy million).