Representing discourse for collaborative interactive generation

摘要

The author's work has focused on one mode of collaborative natural language interaction. In this mode, the system is the primary speaker and the user is the primary listener. The Interactive Discourse Planner (IDP) is responsible for planning text to describe and/or justify a domain plan. The user collaborates by providing feedback that lets the system know how to extend the discussion in a way that satisfies the user and thereby achieves the system's goal. As a testbed for the model, IDP discusses driving routes as the domain plans. The primary insight that this work contributes is that it may be useful to identify modes of collaboration. Collaborative interactive modes are defined by the assignment of conversational roles and responsibilities to a computational system and a human. When building a model for an interactive mode, a designer can make assumptions that lead to simpler, computationally tractable systems that provide for efficient and effective interaction.