This paper addresses issues in generating responses by extracting sentences from the Web for spoken decisionmaking dialogue systems. Various decision criteria are usually involved when selecting an alternative from a given set of alternatives. Such a dialogue system is required to explain the alternatives in terms of each decision criterion focusing on why the alternative is recommended. Preparation of a generation template is difficult for such explanations; thus we consider extracting and then adapting sentences retrieved from the Web. In this work, we address our preliminary experiment in selecting sentences appropriate for system responses.
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