Abstract | ||
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Story understanding requires a degree of knowledge and expressiveness beyond the current state of natural language understanding. We present an approach that addresses these needs, using a large-scale knowledge base, simplified English grammar and a combination of compositional frame semantics and abductive reasoning. This in turn raises a significant challenge disambiguating complex semantic structures, which requires a pragmatics of narrative for constraint and guidance. We present a theory of narrative functions that serve as a heuristic for relevance in narrative, and provide evidence that this heuristic is effective for disambiguation that leads to consistent understanding. |
Year | DOI | Venue |
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2010 | 10.1145/1822309.1822318 | Proceedings of the Intelligent Narrative Technologies III Workshop |
Keywords | DocType | Citations |
narrative function,narrative,complex semantic structure,abductive reasoning,english grammar,story,semantics,knowledge representation,large-scale knowledge base,compositional frame semantics,natural language understanding,consistent understanding,story understanding,current state,knowledge base | Conference | 3 |
PageRank | References | Authors |
0.38 | 9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Emmett Tomai | 1 | 92 | 12.95 |
Kenneth D. Forbus | 2 | 3131 | 862.14 |