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The aim of our research is to create a service composition system that is able to detect and deal with the imperfections of a natural language user request while keeping it as unrestricted as possible. Our solution consists in three steps: first, service prototypes are generated based on grammatical relations; second, semantic matching is used to discover actual services; third, the composed service is generated in the form of an executable plan. Experimental results have shown that inaccurately requested services can be matched in more than 95% of user queries. When missing service inputs are detected, the user is asked to provide more details.

Natural Language Service Composition with Request Disambiguation