Processing of anaphoric and elliptic sentences in a spoken dialog system

This paper presents an approach to processing of ambiguous requests in spoken dialogs in information train timetable service systems. The main problem of human-machine interaction is in the fact, that speaking human does not express some essential information, because it results from the receiver’s knowledge and the dialog context. Therefore the real understanding system have to combine the incomplete semantic information extracted from the analyzed utterance with the previous data stored in the dialog history path. This is provided in the developed dialog system by the dialog module. Its is based on the representation and storage of facts extracted from the previous steps of dialog (dialog path), and on the creation of simple knowledge bases containing the reasoning rules linking the meaning detected in the analyzed user’s utterance with the facts of the dialog path.