Keywords

Dialogue processing, Cognitive modeling, Agent-based architecture

Abstract

Dialogue processing has taken several different forms in recent years; in this paper we address a cognitive modeling approach to the problem. We begin by sketching some of our work in this area and how it derives from prior research in cognition, modeling, natural language processing, and discourse recipe compilation. We then note that, whereas the complexities of natural language— especially spoken language—have been primarily addressed by technologies that target lower-level linguistic processing, higherlevel processing has been less well studied. We introduce our approach, which is to use an agent-based cognitive modeling architecture for dialogue processing. We mention some of the advantages to using such a framework for dialogue, particularly the perspicuity of a unified architecture. We then explore the difficulties and challenges of using a cognitive modeling foundation. Particularly relevant are the issues dealing with evaluation: resources, procedures, and methodological considerations.

Original Publication Citation

Unifying language modeling capabilities for flexible interaction; Workshop Dialogue on Dialogue, International Conference on Spoken Language Processing; Pittsburgh, PA. September 2006. [co-author: Rebecca Madsen]