Many researches found lexical preferences to be critical in resolving attachment ambiguity [WFB 90][FBK 82][ MP 80]. Most notably, information from Verb-Obj-Prep-Noun structures (VOPN) has been used to show that LA is very effective in the resolution of PP-attachment ambiguity [HR. 93]. We investigated extensions to the lexical association strategy. The extensions include using conceptual association and acquiring the association information from different kind of lexical relations not limited to relations in VOPN structures. We refer to this approach as DeepAttach. Thus, it is possible to take information from all kinds of syntactical structures as long as they are alternations of a common deep structure [PU93] related to that implied by the intended attachment. A collection of sense-disambiguated sentences serves as the source of conceptual relations. No pre-processing is done to find the conceptual relations in these sentences. Instead, information retrieval technique is used to retrieve conceptually most relevant sentences using the words from the ambiguous structure as query. The prepositional phrase is then attached in favor of the constituent that has more conceptual presence in the ranked retrieved sentences. An experiment was implemented to embody the idea. The result shows that 75% of pP``s in 260 VOPN structures can be attached correctly, when simple lexical relevance was considered.