LANGUAGE UNDERSTANDING AND GENERATION IN CHINESE SPOKEN DIALOGUE SYSTEMS

This paper presents a new semantic description method by building a Semantic Concepts System (SCS), in which Semantic Patterns are used to describe and recognize the speech acts expressed by spoken utterances. By this means, users’ intentions can be understood and elicited more directly and precisely. Moreover, Based on the domain knowledge related SCS, we can build high efficient language understanding models and generation models for different domains. This method provides solutions in building universal information service SDS platform, and has been applied to develop Beijing Railway Station Ticket Information SDS (BEST) and the Capital Airport Flights Information SDS (BAFI) successfully.