tailieunhanh - Báo cáo khoa học: "A DIALOGUE MANAGER USING INITIATIVE-RESPONSE UNITS AND DISTRIBUTED CONTROL"

This paper describes a system for managing: dialogue in a natural language interface. The proposed approach uses a dialogue manager as the overall control mechanism. The dialogue manager accesses domain independent resources for interpretation, generation and background system access. It also uses information from domain dependent knowledge sources, which are customized for various applications. Instead of using complex plan-based reasoning, the dialogue manager uses information about possible interaction structures and information from the specific dialogue situation to manage the dialogue. . | A DIALOGUE MANAGER USING INITIATIVE-RESPONSE UNITS AND DISTRIBUTED CONTROL Arne Jonsson Department of Computer and Information Science LinkOping University s- 581 83 LINKOPING SWEDEN Phone 46 13281717 Email ARJ@ Abstract This paper describes a system for managing dialogue in a natural language interface. The proposed approach uses a dialogue manager as the overall confrol mechanism. The dialogue manager accesses domain independent resources for interpretation generation and background system access. It also uses information from domain dependent knowledge sources which are customized for various applications. Instead of using complex plan-based reasoning the dialogue manager uses information about possible interaction structures and information from the specific dialogue situation to manage the dialogue. This is motivated from the analysis of a series of experiments where users interacted with a simulated natural language interface. The dialogue manager integrates information about segment types and moves into a hierarchical dialogue tree. The dialogue tree is accessed through a scoreboard which uses exchangeable access functions. The conưol is distributed and the dialogue is directed from action plans in the nodes in the dialogue tree. 1 Introduction To achieve ưue cooperation a natural language interface must be able to participate in a coherent dialogue with the user. A common generally applicable approach is to use plan-inference as a basis for reasoning about intentions of the user as proposed by for instance Allen Perrault 1980 Litman 1986 Carberry 1989 and Pollack 1986 . However computationally these approaches are not so efficient. Reichman 1985 describes a discourse grammar based on the assumption that a conversation can be described using conventionalized discourse rules. Gilbert Buckland Frolich Jirotka Luff 1990 uses interaction rules in their menu-based advisory system. Our approach is similar to Reichman and Gilbert ei al. In a scries of .