Document Type
Conference Proceeding
Publication Date
2018
Publication Title
The Sixth Annual Conference on Advances in Cognitive Systems (ACS-18)
Abstract
While recent research has shown that “classical” automated planning systems are effective tools for story generation, the success of automated story understanding systems may require integration between commonsense reasoning and more sophisticated forms of planning to make inferences and deductions about the plans and goals of story actors. Methods that decompose abstractions (i.e., tasks or language expressions) into primitives have played an important role for both automated planning systems and automated story understanding systems, but the two areas have remained largely isolated from each other with few overlaps. We argue that this little-explored connection can benefit both areas of research, and this position paper explores the connections between these systems through the common use of primitive decomposition and its variants. Specifically, we present a prototype of a Hierarchical Task Network planner that decomposes natural language input into primitive structures of Conceptual Dependency, a meaning representation designed for in-depth story understanding. We discuss the important challenges, implications, and applications enabled by the establishment of this unique, direct link between planning and story understanding systems.
Rights
© 2018 Cognitive Systems Foundation.
Recommended Citation
Macbeth, Jamie C. and Roberts, Mark, "Exploring Connections Between Primitive Decomposition of Natural Language and Hierarchical Planning" (2018). Computer Science: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/csc_facpubs/396
Comments
Archived as published.
The Sixth Annual Conference on Advances in Cognitive Systems (ACS-18), Stanford, California, August 18-20, 2018.