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In a real-time dialogue system, texts need to be incrementally analyzed while they are inputed. We present such an interpretation model that uses syntactic, semantic, contextual, and commonsense knowledge cooperatively. In particular, those systems are under development which performs syntactic and semantic analysis in integrated way using case frame information of verbs, and which resolves word sense ambiguity and finds coherence between sentences simultaneously in terms of associativity between words. A user-friendly dialogue system should be robust and flexible in that it can analyze any user inputs with various constructions and unlimited vocabulary. Therefore, it needs to be able to cope with ill-formed sentences.