Recognizing　Textual　Entailment　(RTE)　task　is　defined　as　recognizing,　given　two　text　fragments,　whether　the　meaning　of　one　text　can　be　inferred　from　the　other.　This　paper　adopts　the　word　overlap　technique　at　first　for　detection　the　entailment　relation,　and　then　the　semantic　information　is　also　combined　for　this　task　by　the　use　of　WordNet　which　is　a　structured　lexical　knowledge　base.　The　part-of-speech　and　named　entity　can　give　useful　indication　for　entailment　recognition　and　we　give　additional　attention　to　them.　The　experiments　on　the　RTE　test　set　get　the　encouraged　results　and　we　give　the　result　analysis　and　we　will　mine　the　deeper　semantic　information　in　the　future　work.　©　2010　IEEE.