Hyponymy　relations　play　a　crucial　role　in　various　natural　language　processing　systems.　Automatic　acquisition　and　verification　of　hyponymy　relations　is　a　basic　problem　in　knowledge　acquisition　from　text.　We　present　a　method　that　acquires　and　verifies　hyponymy　relations　based　on　multiple　patterns　and　features.　It　initially　obtains　a　set　of　removable　patterns　using　Chinese　lexico-syntactic　patterns.　Then　the　concepts　of　constituting　hyponymy　relation　are　acquired　with　removable　patterns.　Finally,　hyponymy　relations　are　verified　with　space　structure　features,　semantic　features　and　context　features.　Experimental　results　demonstrate　good　performance　of　the　method.　©　2008　Springer-Verlag　Berlin　Heidelberg.