A Conversational Agent for Food-ordering

In this paper, we introduce a conversational agent which is applied to the food-ordering dialog system. It uses VenusDictate as speech recognition front-end, then understands the semantics of the input sentence by extracting the keywords of the sentence, finally it interacts with the user by speech. The experimental results show that the performance of this agent is good in this application domain.