Abstract

The paper investigates several approaches to modeling in natural-language dialogue systems. First, reasons are pointed out why modeling has become so important in the last few years, and definitions are proposed for the notions of user model and user modeling component. Then, techniques for constructing models in the course of a dialogue are presented and recent proposals for representing a wide range of assumptions about a user's beliefs and goals in a system's knowledge base are surveyed. Examples for the application of models in systems developed to date are presented, and some social implications are discussed. Finally, unsolved problems like coping with collective beliefs or resource-limited processes are investigated, and prospects for application-oriented research are outlined.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call