Generic plan recognition for dialogue systems

摘要: We describe a general framework for encoding rich domain models and sophisticated plan reasoning capabilities. The approach uses graph-based to address wide range of tasks that typically arise in dialogue systems. graphical representation is independent but connected the underlying action time. types recognition are needed, illustrating these with examples from dialogues collected as part TRAINS project. algorithms presented, issues formalization processes discussed.