DPOCL: A Principled Approach to Discourse Planning
R. Michael Young (Intelligent Systems Program, University of, Pittsburgh), Johanna D. Moore (Department of Computer Science, Learning, Research, Development Center, University of Pittsburgh)
TL;DR
This paper introduces DPOCL, a discourse planning approach that emphasizes formal soundness and completeness, addressing representational needs for effective computational discourse agents.
Contribution
It proposes a principled, formal framework for discourse planning that captures both intentional and informational structures, ensuring soundness and completeness.
Findings
Defines formal criteria for discourse planning systems
Ensures discourse plans represent intentional and informational structures
Provides a basis for computational discourse agents
Abstract
Research in discourse processing has identified two representational requirements for discourse planning systems. First, discourse plans must adequately represent the intentional structure of the utterances they produce in order to enable a computational discourse agent to respond effectively to communicative failures \cite{MooreParisCL}. Second, discourse plans must represent the informational structure of utterances. In addition to these representational requirements, we argue that discourse planners should be formally characterizable in terms of soundness and completeness.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Semantic Web and Ontologies