This paper presents construction of a spoken dialogue system using a large-scale spoken dialogue corpus with intention tags. In this system, all of main components, such as speech understanding, dialogue management, and response generation, are constructed with corpus-based methods. An evaluation experiment using a test set has shown that the performance of the corpus-based dialogue system is improved by adding examples.